Swimwear capable of monitoring health status

Abstract

The present invention relates to a swimsuit capable of monitoring health conditions. More specifically, the invention relates to an underwater safety monitoring technology that acquires health data including heart rate, body temperature, movement, respiration-related signals, pressure-related signals, and underwater posture-related signals through a plurality of sensor units equipped in a swimsuit main body unit worn by a user, transmits said health data to an external terminal for storage and analysis, determines in stages the user's abnormal propulsion state, risk of body heat loss, immersion crisis state, or possibility of delayed rescue response, and provides notifications to said user or external terminal according to the result of the determination. Furthermore, the present invention relates to a technology that determines the state not merely based on whether a single biometric value deviates from a range, but by linking and analyzing multiple types of health data and underwater environment data over time intervals, and interpreting the state by comparing it with initial reference data for each user. Accordingly, the present invention belongs to the field of technology that continuously tracks changes in a user's state in various underwater environments, such as swimming pools, water parks, beaches, open waters, or indoor tanks, and provides step-by-step warnings when necessary.

Description

Technology Field

[0001] The present invention relates to a swimsuit capable of monitoring health conditions.

[0002] More specifically, the invention relates to an underwater safety monitoring technology that acquires health data including heart rate, body temperature, movement, respiration-related signals, pressure-related signals, and underwater posture-related signals through a plurality of sensor units equipped in a swimsuit main body unit worn by a user, transmits said health data to an external terminal for storage and analysis, determines in stages the user's abnormal propulsion state, risk of body heat loss, immersion crisis state, or possibility of delayed rescue response, and provides notifications to said user or external terminal according to the result of the determination.

[0003] Furthermore, the present invention relates to a technology that determines the state not merely based on whether a single biometric value deviates from a range, but by linking and analyzing multiple types of health data and underwater environment data over time intervals, and interpreting the state by comparing it with initial reference data for each user. Accordingly, the present invention belongs to the field of technology that continuously tracks changes in a user's state in various underwater environments, such as swimming pools, water parks, beaches, open waters, or indoor tanks, and provides step-by-step warnings when necessary.

[0004] Furthermore, the present invention relates to a technology that does not limit the sensor configuration for acquiring health data to a heart rate sensor, a body temperature sensor, and a motion sensor, but may further include a strain detection sensor for acquiring expansion signals of the chest and abdomen, a pressure detection sensor for acquiring pressure differences by body segment, a moisture detection sensor for detecting moisture inflow or changes in wetting patterns, a water pressure or depth detection sensor for estimating changes in water depth or relative position, an optical sensor for acquiring oxygen saturation-related signals, and an environment detection sensor for detecting illuminance, waves, droplets, or surrounding environmental conditions. Additionally, the present invention may include a notification control technology linked with a light-emitting unit, an acoustic unit, or a haptic unit for transmitting the judgment result to a user or an external terminal. Background Technology

[0006] In general, activities conducted underwater, such as swimming, diving, underwater training, or water rescue operations, have the characteristic that changes in a user's condition are difficult to perceive immediately from the outside compared to terrestrial environments. In particular, even if a user appears to be moving vigorously underwater, they may actually be struggling to secure breathing, experiencing gradual heat loss, or suffering repeated failures to resurface. However, from the perspective of an external observer, it can be difficult to distinguish whether these conditions are merely a change in swimming technique, an intentional state of diving, or a situation requiring rescue intervention.

[0007] Conventionally, attempts have been made to monitor a user's heart rate, movement, or risk of drowning through wrist-worn wearable devices, waterproof biometric devices, or video-based swimming pool monitoring systems. However, wrist-worn or single-attachment devices may experience unstable contact underwater and may have limitations in reliably collecting multiple signals simultaneously from the user's chest, abdomen, torso, or extremities. Furthermore, a method of determining the state based solely on whether a single biometric value exceeds a threshold may classify non-critical situations, such as high-intensity swimming, temporary changes in direction, intentional underwater stopping, or the process of adapting to low water temperatures, as targets for warning.

[0008] Furthermore, since video-based surveillance technologies often interpret status based on the user's external movements, the accuracy of interpretation can be affected by factors such as water surface reflections, reduced illumination, crowding, waves, droplets, or the user's partial submersion status. Moreover, even if technology for transmitting warnings to external terminals is available, communication conditions may be inconsistent in actual underwater environments, and notification control that considers whether a rescue request has reached the external terminal or who has responded may not be sufficiently implemented.

[0009] Meanwhile, in underwater environments, phenomena such as user posture collapse, abnormal propulsion, hypothermia, failure to re-ascent, respiratory imbalance, and progression of hypoxia do not occur independently but can appear in a complex, interconnected manner over time. Nevertheless, conventional technology has not sufficiently presented a technical configuration that connects and interprets these multiple state changes into a single continuous safety management system and reflects the results in the control of notification intensity and notification methods. Prior art literature

[65535] Korean Patent Publication No. 10-2008-0026729 The problem to be solved

[0010] One objective of the present invention is to provide a swimsuit capable of monitoring health conditions, which can more reliably acquire signals related to heart rate, body temperature, movement, respiration, pressure, and underwater posture by arranging a plurality of sensor units within a wearable structure in the form of a swimsuit.

[0011] Another objective of the present invention is to provide a system capable of distinguishing between normal swimming states and abnormal propulsion states by sorting and comparing multiple health data by time intervals, instead of determining the user's state solely based on whether a single biometric value exceeds a threshold, and interpreting this data in conjunction with reference data collected during the user's initial stable period.

[0012] Another objective of the present invention is to provide a system capable of determining, in stages, the risk of heat loss that is distinct from a simple decrease in external water temperature or temporary fluctuations in body temperature by considering together the close fit of the swimsuit, the pattern of water exchange, changes in body surface temperature distribution, the pattern of delayed reheating, and the peripheral blood flow response.

[0013] Another objective of the present invention is to provide a system capable of distinguishing between intentional underwater swimming and the progression of an underwater crisis by considering together the user's accumulated underwater time, number of failed re-ascents, respiratory asymmetry, buoyancy recovery delay, dynamic buoyancy response, changes in oxygen saturation, and signals related to muscle spasms.

[0014] Another objective of the present invention is to provide a system capable of variably controlling the output intensity, output type, transmission range, and transmission cycle of a notification by reflecting not only the biological risk level of the user but also the communication attenuation state, the structural line of sight obstruction state, the response delay of an external terminal, the cumulative number of responding terminals, and the flood crisis progress information.

[0015] Another objective of the present invention is to provide a step-by-step safety management system that considers the progression of the user's condition and the conditions for rescue response in different underwater environments, such as swimming pools, water parks, beaches, open waters, or indoor tanks.

[0016] The problems of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0017] An embodiment of the present invention for solving the above problem may have a basic system configuration including a swimwear structure worn on a user's body and a data processing structure that collects and analyzes health data obtained from the swimwear structure at an external terminal. In addition, the embodiment of the present invention may optionally include a plurality of stepwise judgment processes, such as determining an abnormal propulsion state, determining the risk of body heat loss, determining a flood risk, and determining the urgency of dynamic notifications, in addition to the basic system configuration. The basic system configuration and the stepwise judgment processes will be described sequentially below.

[0018] In a swimsuit capable of monitoring health status according to an embodiment of the present invention for solving the above problem,

[0019] A swimsuit main body unit worn on the user's body, on which a sensor unit and a communication unit are placed;

[0020] A sensor unit provided in the above-mentioned swimsuit main body unit for acquiring health data including the user's heart rate data, body temperature data, and movement data;

[0021] A communication unit that transmits the health data generated from the sensor unit to an external terminal;

[0022] A data collection module implemented within the above external terminal for receiving, sorting, and storing the health data;

[0023] A state determination module that analyzes the health data stored in the data collection module to determine whether abnormal signs of the user have occurred; and

[0024] It includes a notification providing module that generates a visual, auditory, or tactile notification through the external terminal based on the determination result of the state determination module above, and

[0025] The above state determination module generates multiple derived information regarding heart rate, body temperature, and movement by comparing the current measured value with the historical value of the previous specified time interval, and classifies the user's state into one of a normal state, an attention state, and a warning state based on the multiple derived information.

[0026] The above notification providing module is characterized by applying different notification methods or notification intensities according to the distinguished state, and

[0027] The above swimsuit main body unit is formed to include an elastic material so as to adhere closely to the user's body, and

[0028] The above swimsuit main body unit provides a support structure such that the sensor unit is correspondingly positioned in at least one of the chest, abdomen, back, waist, shoulder, or armpit adjacent areas, and

[0029] The above swimsuit body unit provides a fixed area to maintain contact between the sensor unit and the skin or the inner surface of the swimsuit, and

[0030] The above swimsuit main body unit includes a waterproofed receiving space or a separate storage compartment to reduce the communication unit's direct exposure to external shock or moisture, and

[0031] Accordingly, the sensor unit is characterized by supporting the corresponding placement of a sensor for measuring heart rate on the inner side of the chest, a sensor for measuring body temperature on the area adjacent to the armpit or on the inner side of the back, and a sensor for measuring movement on the waist or the center of the torso.

[0032] The sensor unit measures at least two of heart rate, body temperature, and movement at regular intervals or at the time of event occurrence, and

[0033] Measurement time information is added to each of the above-mentioned measurements, and multiple types of data obtained at the same or adjacent points in time are generated in the form of a data bundle that can be interconnected.

[0034] In the event that temporary contact changes or signal fluctuations occur due to underwater movement, values ​​outside the set range among multiple continuously acquired measurements are excluded, or corrected data is generated by comparing with adjacent measurements.

[0035] The communication unit adds at least one of a data type, a measurement sequence number, wearer identification information, and transmission sequence identification information to the data bundle and transmits it to the external terminal.

[0036] The data collection module is characterized by rearranging the data bundles based on the measurement time to store them separately as heart rate data, body temperature data, movement data, and derived data generated therefrom, and combining data from the same point in time or adjacent points in time into a single analysis unit to provide to the state determination module.

[0037] The above state determination module, in order to determine the abnormal propulsion state of the user,

[0038] Phase alignment indicating the degree of temporal alignment between the chest expansion and contraction cycles and the upper and lower limb stroke cycles,

[0039] A garment pressure gradient representing the pressure difference measured between the chest section and the abdominal or waist section of the above-mentioned swimsuit main body unit,

[0040] A heart rate variability reduction amount indicating the degree of reduction of current heart rate variability relative to the heart rate variability measured during the initial stable period of wear, and

[0041] Calculate the micro-vibration ratio, which represents the proportion of a preset high-frequency band component in the signal of an inertial sensor or a bioelectric sensor, respectively, and

[0042] The procedure for determining the garment pressure gradient is activated only when the above phase alignment drops below the first reference value, and

[0043] If the condition in which the above clothing pressure gradient exceeds the dynamic limit pressure calculated based on the user's initial baseline pressure deviation and the vertical depth deviation between the chest section and the abdominal or waist section is maintained for a preset duration or longer, the user is classified into a Level 1 caution state, and

[0044] Characterized by classifying the user into a Level 2 risk state if, after the above Level 1 caution state is established, the above amount of heart rate variability decrease exceeds a second threshold value or the above fine tremor ratio exceeds a third threshold value.

[0045] The above state determination module determines the risk of body heat loss of the user,

[0046] Temperature deviation indicating the surface temperature difference between the torso and limb segments,

[0047] A water body exchange rate indicating the relative flow rate of water exchanged per unit time between the inside and outside of the above-mentioned swimsuit body unit,

[0048] Adhesion stability indicating how well the above swimsuit main body unit maintains a state of close contact with the skin surface,

[0049] The reheating delay time required for the local body surface temperature to recover to a reference level after reduction or cessation of movement, and

[0050] A peripheral blood flow defense response index is calculated based on the amplitude change rate or recovery rate of the peripheral photoplethysmography signal, respectively, and

[0051] The procedure for determining the risk of body heat loss is activated only when the above-mentioned closeness stability drops below the fourth threshold value, and

[0052] If the above-mentioned water exchange rate exceeds the 5th standard value and the above-mentioned temperature deviation expands beyond the 6th standard value, the user is classified into a Level 1 cautionary state where there is a possibility of a decrease in body temperature, and

[0053] If, after the above Stage 1 cautionary state is established, the above reheating delay time exceeds the variable delay limit time calculated based on the basic recovery time, the degree of reduction in the current peripheral blood flow response compared to the normal state peripheral blood flow response, and water temperature conditions, the user shall be classified up to Stage 2 danger state,

[0054] Characterized by correcting the interpretation criteria for the variable delay limit time or delaying the point of elevation to the 2nd stage risk state when the above peripheral blood flow defense response index is maintained above a preset standard range,

[0055] In addition to performing the abnormal propulsion state determination and the body heat loss risk determination independently of each other, the above state determination module,

[0056] After the above-mentioned Stage 1 cautionary state is established due to a decrease in the above-mentioned phase alignment and an increase in the above-mentioned clothing pressure gradient, if a decrease in the above-mentioned adhesion stability and an increase in the above-mentioned water body exchange rate are confirmed together, the user's condition is interpreted as a complex deterioration state, and

[0057] In the above complex deterioration state, if the above heart rate variability reduction amount or the above fine tremor ratio increases and the above reheating delay time approaches or exceeds the above variable delay limit time, a warning state is determined with a higher priority than the attention state by a single process, and

[0058] The above notification providing module distinguishes and displays at least one occurrence item among heart rate abnormality, body temperature decrease, reduced movement, abnormal propulsion state, and risk of body heat loss when determining the above warning state, and

[0059] It may be characterized by providing a screen display or intermittent vibration in the attention state, providing repeated vibration and repeated warning sound in the warning state, and if user confirmation input is not received within a preset time, displaying the same warning repeatedly or performing additional notification to another linked terminal. Effects of the invention

[0060] According to the present invention, the sensor unit and the communication unit are integrally or distributedly disposed on the swimsuit body unit, thereby enabling the continuous acquisition of data related to heart rate, body temperature, movement, and underwater motion while maintaining contact between the user's body and the sensor. Accordingly, a data collection structure that reflects both changes in the torso center and changes in underwater posture can be implemented compared to a single attached device.

[0061] Furthermore, according to the present invention, the data collection module sorts and stores multiple types of health data in chronological order, and the state determination module compares the current data with historical data from a previous specific time interval, thereby allowing the state to be interpreted in a way that reduces unnecessary warnings caused by momentary noise or temporary anomalies. Accordingly, it is possible to distinguish and determine non-critical situations, such as high-intensity swimming, temporary changes in direction, or intentional underwater stopping, from actual dangerous situations.

[0062] In addition, according to the present invention, the state determination module can determine an abnormal propulsion state by linking the phase match, clothing pressure gradient, heart rate variability reduction, and micro-vibration ratio, and determine the risk of heat loss by linking the temperature deviation, water body exchange rate, closeness stability, reheat delay time, and peripheral blood flow defense response index, thereby enabling an analysis that reflects changes in posture, changes in insulation state, and changes in physiological burden in an underwater environment.

[0063] Furthermore, according to the present invention, the state determination module can interpret the voluntary underwater swimming state and the underwater crisis progression state in different ways by linking information related to the accumulated underwater time, the number of failed resurfacing attempts, respiratory asynchronous state, buoyancy recovery delay, dynamic buoyancy response, oxygen saturation descent rate, and high-frequency muscle spasms. Accordingly, this can be utilized to reduce instances where a crisis state is missed merely because movement is present, or conversely, where a simple underwater swimming state is classified as a warning target.

[0064] Furthermore, according to the present invention, since the notification providing module can adjust the intensity and method of the notification by considering not only the result of the state determination but also the communication attenuation state, the structural line of sight obstruction state, the response delay of the external terminal, and the accumulated number of responding terminals, different warning methods can be selected depending on the surrounding structural conditions even for the same danger state. Accordingly, in environments where the external response is relatively fast, an excessive self-output mode can be suspended, and conversely, when response delay and environmental deterioration occur together, a higher level of warning procedure can be performed earlier.

[0065] In addition, according to the present invention, since each judgment criterion value can be adjusted according to user characteristics and environmental conditions by utilizing initial reference data and cumulative activity data together, an adaptive judgment structure reflecting user-specific swimming habits, body type, proficiency, water temperature environment, and communication environment can be operated rather than a state judgment based on uniform fixed criteria.

[0066] Accordingly, the present invention can provide a swimsuit capable of health status monitoring that connects and analyzes changes in a user's health status, abnormal propulsion status, progression of body heat loss, progression of flooding crisis, and rescue response conditions in an underwater environment into a single continuous safety management flow, and reflects the results in step-by-step notification control.

[0067] The effects according to the present invention are not limited to those exemplified above, and a wider variety of effects are included within the present invention. Brief explanation of the drawing

[0068] Figure 1 illustrates a flowchart between all components according to the present invention. Figure 2 illustrates an abnormal propulsion state determination process according to the present invention. Figure 3 illustrates a process for determining the risk of body heat loss according to the present invention. Figure 4 illustrates a flood risk threshold determination process according to the present invention. FIG. 5 illustrates a dynamic notification urgency determination and output control process according to the present invention. Specific details for implementing the invention

[0069] Hereinafter, various embodiments are described in more detail with reference to the attached drawings. The embodiments described in this specification may be modified in various ways. Specific embodiments may be depicted in the drawings and described in detail in the detailed description. However, specific embodiments disclosed in the attached drawings are intended only to facilitate understanding of various embodiments. Accordingly, the technical concept is not limited by specific embodiments disclosed in the attached drawings, and it should be understood that it includes all equivalents or substitutions that fall within the spirit and scope of the invention.

[0070] Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but these components are not limited by the aforementioned terms. The aforementioned terms are used solely for the purpose of distinguishing one component from another.

[0071] In this specification, terms such as “comprising” or “having” are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. When a component is described as being “connected” or “connected” to another component, it should be understood that it may be directly connected to or connected to that other component, or that there may be other components in between. On the other hand, when a component is described as being “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

[0072] Meanwhile, a "module" or "part" for a component as used in this specification performs at least one function or operation. Furthermore, a "module" or "part" may perform a function or operation by hardware, software, or a combination of hardware and software. Additionally, a plurality of "modules" or a plurality of "parts," excluding a "module" or "part" that must be performed on specific hardware or on at least one processor, may be integrated into at least one module. A singular expression includes a plural expression unless the context clearly indicates otherwise.

[0073] In addition, power, power transmission, and control therefor for the following assembly configurations and embodiments, including "by control," follow conventional technology including terminals, applications, hardware control modules, etc., so they are omitted to avoid redundancy.

[0074] In addition, the operation embodiments and configurations described in a general manner without being explained in detail below follow the prior art and are omitted in order to focus on describing the purpose of the present invention and the resulting effects.

[0075] Furthermore, in describing the present invention, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the essence of the invention, such detailed description is abbreviated or omitted.

[0076] In one embodiment, the sensor unit (120) does not mean a single sensor, but may be implemented as a composite sensor set including a sensor for measuring heart rate, a sensor for measuring body temperature, a sensor for measuring movement, a strain detection sensor for acquiring expansion signals of the chest and abdomen, a pressure detection sensor for measuring pressure difference between body segments, a moisture detection sensor for detecting moisture inflow or changes in humidity, a water pressure or depth detection sensor for estimating changes in water depth or relative position, an optical sensor for acquiring oxygen saturation-related signals, and an environment detection sensor for detecting ambient light or wave conditions. Additionally, the notification providing module (160) may be implemented to perform step-by-step warnings by linking with at least one of a light-emitting unit, a sound unit, and a haptic unit provided in the swimsuit body unit (110) or the linking device, rather than using only the screen display and sound output of an external terminal.

[0077] A swimsuit according to the present invention may include a swimsuit body unit (110), a sensor unit (120), a communication unit (130), a data collection module (140), a status determination module (150), and a notification providing module (160).

[0078] The above swimsuit body unit (110) is a component forming a clothing-type body worn on the user's body and can provide a structural base in which the sensor unit (120) and the communication unit (130) can be stably positioned. The swimsuit body unit (110) may include an elastic material to maintain a state of close contact with the wearer's body in an underwater environment, and may include a waterproof receiving space or a waterproof pocket structure to reduce exposure of electrical components, such as the sensor unit (120) and the communication unit (130), to direct water ingress or external impact.

[0079] The above swimsuit main body unit (110) may be positioned so that the sensor unit (120) corresponds to at least one of the wearer's chest, abdomen, back, waist, shoulder, armpit adjacent area, or torso center. Accordingly, the above swimsuit main body unit (110) is not merely a means of wearing, but can function as a support structure that maintains the relative position and contact state of each sensor so that the sensor unit (120) can more stably acquire biometric information and movement information. In addition, the above swimsuit main body unit (110) may be configured to be positioned in the form of a separate storage compartment on a side or rear area with relatively little movement so that the communication unit (130) does not suffer performance degradation due to external impact or repeated bending.

[0080] The above swimsuit body unit (110) is not a component that directly generates data, but can perform the function of supporting the placement location of the sensor and skin contact conditions so that the sensor unit (120) can acquire health data such as heart rate, body temperature, and movement. For example, the swimsuit body unit (110) may be formed so that a sensor for measuring heart rate is in close contact with the inner side of the chest, a sensor for measuring body temperature may be formed so that it is placed in an area adjacent to the armpit or on the inner side of the back where skin contact is easy, and a sensor for measuring movement may be formed so that it is placed in the waist area or the center of the torso. Accordingly, the swimsuit body unit (110) can perform the role of indirectly maintaining the quality of the data acquired by each sensor.

[0081] In one embodiment, the swimsuit body unit (110) may include a sensor placement layer between the inner lining and the outer fabric of the top-integrated swimsuit. In another embodiment, the swimsuit body unit (110) may be formed such that the sensor holding pocket and the storage portion of the communication unit (130) are separated from each other, so that the sensor unit (120) is placed in a part requiring body contact and the communication unit (130) is placed in a side or rear section with relatively less deformation. Accordingly, the swimsuit body unit (110) may be implemented with a structure that simultaneously supports the stability of sensor measurement and the protection of electronic parts.

[0082] The sensor unit (120) is a component equipped in the swimsuit body unit (110) for detecting data related to the wearer's health condition, and can acquire health data including heart rate data, body temperature data, and movement data. The sensor unit (120) may be implemented as a single sensor, but in one embodiment, it may be configured in a combined form of multiple sensor elements corresponding to the type of health data.

[0083] The sensor unit (120) can measure at least two items among heart rate, body temperature, and movement at a set period or at the time of an event. The sensor unit (120) can generate each measurement value along with time information and can output multiple types of data acquired at the same time or adjacent time points in the form of a data bundle that can be linked together. In addition, to reduce temporary contact failure, signal fluctuation, or measurement value distortion that may occur due to underwater movement, values ​​outside a set range among multiple continuously acquired measurements can be excluded, or data in a corrected form can be generated by comparing with measurements from adjacent time points.

[0084] The sensor unit (120) may acquire heart rate data, body temperature data, and movement data in the following manner. Additionally, the sensor unit (120) may further include at least some of the following to calculate derived variables for subsequent state determination: a strain sensor that acquires expansion and contraction signals of the chest or abdomen; a distributed pressure sensor that acquires a pressure difference between the chest section and the abdomen or waist section; a contact moisture sensor that detects the internal wetness state or external water inflow pattern of the swimsuit body unit (110); a hydrostatic pressure sensor or depth estimation sensor that estimates the relative depth or position change of an upper body reference point; an optical sensor that acquires oxygen saturation-related signals; and an environment sensing sensor that detects illuminance or wave conditions. The state determination module (150) may sort the signals acquired from the plurality of sensors by time interval to calculate derived variables such as phase alignment, clothing pressure gradient, water exchange rate, reheat delay time, immersion accumulation time, number of re-floating failures, oxygen saturation descent rate, or structural visibility obstruction index. For example, heart rate data can be obtained through an electrode-type sensor or an optical sensor placed on the chest or a region adjacent to the heart. Additionally, body temperature data can be obtained through a temperature sensor placed on the skin contact surface. Furthermore, movement data can be obtained through an accelerometer, an angular velocity sensor, or a posture change detection sensor. The sensor unit (120) can generate not only such direct measurements but also derived information, such as the amount of change over a certain time interval, the direction of change, the difference between continuous measurements, and the duration of non-detection of movement, and transmit this information to the communication unit (130).

[0085] In one embodiment, the sensor unit (120) may include a heart rate sensor in the chest area, a body temperature sensor in the area adjacent to the armpit, and a movement sensor in the waist area. In another embodiment, the sensor unit (120) may be implemented such that it primarily includes the heart rate sensor and the movement sensor, and the body temperature sensor is optionally added. In yet another embodiment, the sensor unit (120) may generate the average value, maximum value, minimum value, and range of change of multiple measurements collected over a certain period of time and transmit them to the communication unit (130). Accordingly, the sensor unit (120) can be interpreted as a configuration that goes beyond a simple means of generating raw data and provides organized health data packets suitable for subsequent analysis.

[0086] The communication unit (130) is a component provided in the swimsuit body unit (110) that transmits health data generated from the sensor unit (120) to an external terminal. The external terminal may include a smartphone, a tablet terminal, a wearable terminal, or a management terminal, and for convenience of explanation, a smartphone may be used as an example below.

[0087] The communication unit (130) can transmit health data received from the sensor unit (120) to the smartphone via wireless communication. When transmitting data, the communication unit (130) may include at least one of the data type, measurement time, wearer identification information, measurement sequence number, or verification information. Additionally, in periods where the communication status is temporarily unstable, data may be temporarily stored and then transmitted in batches upon reconnection. Furthermore, if abnormal signs exceeding a certain threshold are detected, the system may be controlled to transmit warning-related data or detailed data first, prioritizing it over normal periodic transmission.

[0088] The communication unit (130) can receive heart rate data, body temperature data, movement data, and derived data generated therefrom from the sensor unit (120). The communication unit (130) can add verification information to check for errors in the received data, or add transmission order identification information so that the data can be sorted in chronological order by the data collection module (140). Accordingly, the communication unit (130) is not limited to a simple transmission means, but can perform the role of sorting the structure of data packets to facilitate subsequent data management and analysis.

[0089] In one embodiment, the communication unit (130) may periodically transmit measurement data at regular time intervals. In another embodiment, the communication unit (130) may transmit data immediately when a set condition is met, such as a sudden change in heart rate, a sudden drop in body temperature, or failure to detect movement for a long time. In yet another embodiment, the communication unit (130) may transmit summary data in a normal state and, when an abnormal sign is suspected, transmit raw data or detailed data from the previous period together. Accordingly, the communication unit (130) may be implemented as an adaptive communication structure that considers both transmission efficiency and warning responsiveness.

[0090] The data collection module (140) is a software component implemented within a smartphone that receives, sorts, stores, and manages health data transmitted from the communication unit (130). The data collection module (140) is not limited to a simple storage function and can perform a function of organizing the data structure so that the state determination module (150) can analyze multiple types of health data in chronological order.

[0091] The data collection module (140) can store multiple types of health data received from the communication unit (130) by arranging them in chronological order. Additionally, it can distinguish and manage missing data segments, duplicate received data segments, or one-time data segments that temporarily deviate from the normal range. Accordingly, the data collection module (140) can maintain the continuity and consistency of the received data while reducing the accumulation of unnecessary errors in subsequent analysis steps.

[0092] The data collection module (140) can store health data received from the communication unit (130) by classifying it into heart rate data, body temperature data, movement data, and derived data. The data collection module (140) can organize each data into a record unit that includes at least one of the measurement time, data type, measurement value, amount of change, duration, and communication status information. Additionally, it can combine data from the same point in time or adjacent points in time into a single analysis unit and provide it to the state determination module (150). Accordingly, the data collection module (140) can perform the role of arranging data received from multiple sensors into a single time-series analysis structure.

[0093] In one embodiment, the data collection module (140) may store data intervals of the last 10 seconds, 30 seconds, 1 minute, or 5 minutes respectively, and allow referencing different intervals according to the purpose of analysis. In another embodiment, the data collection module (140) may store heart rate and body temperature data in the form of continuous values, and convert and store movement data in the form of activity amount or presence or absence of movement by time interval. In yet another embodiment, the data collection module (140) may store data received in batches due to communication delay after rearranging it based on the measurement time. Accordingly, the data collection module (140) may be implemented as a data management structure that supports not only real-time capabilities but also the possibility of post-analysis.

[0094] The above-described state determination module (150) is a software component that determines whether abnormal signs occur in a user by analyzing health data stored in the above-described data collection module (140). The above-described state determination module (150) does not determine the state based on a single data item alone, but can perform a complex state determination by considering heart rate, body temperature, and movement information together over time intervals.

[0095] The state determination module (150) can determine whether there are signs of an abnormality by comparing the measurement value at the current point in time with the history value of the previous specified time interval. For example, the state determination module (150) can individually check whether the heart rate deviates from a reference range, whether the body temperature drops beyond a set change range, and whether movement information is not detected continuously for longer than a reference time. Subsequently, the state determination module (150) can determine the need for a warning by combining the results of the individual determinations. More specifically, the state determination module (150) can determine that there is a sign of an abnormality if at least one of the following is satisfied: when an abnormal heart rate and no movement are detected together, when a decrease in body temperature and a decrease in movement appear together in a continuous interval, or when the degree of abnormality of a single item is greater than a pre-set standard.

[0096] The state determination module (150) can obtain the current measurement value, the history value of the previous fixed time interval, change amount information, and continuous non-detection time information from the data collection module (140). In addition, it can use a pre-set absolute reference value, and can also operate by storing data collected during a fixed interval at the beginning of wearing as user-specific reference data and then comparing it with subsequent measurement values. Accordingly, the state determination module (150) can perform a judgment based on a uniform standard and a comparison judgment reflecting the initial state of each user in parallel.

[0097] In one embodiment, the state determination module (150) may determine a warning state if the heart rate is outside the reference range and remains in that state for a certain period of time or longer, and movement information is not continuously detected at the same time. In another embodiment, the state determination module (150) may determine a caution state if the body temperature drops below a reference rate of change and movement information decreases compared to the normal range, and then upgrade to a warning state if the state continues in an additional range. In yet another embodiment, the state determination module (150) may not make a determination based solely on a value at a single point in time, but may analyze data collected at multiple points in groups to reduce unnecessary warnings caused by temporary errors or momentary abnormal values. Accordingly, the state determination module (150) may be implemented not as a simple comparison module, but as a state analysis module that considers both temporal continuity and the combination of multiple factors.

[0098] The notification providing module (160) is a software component that generates a notification in the form of a visual, auditory, or tactile signal through a smartphone based on the result of the determination of the state determination module (150). The notification providing module (160) is not limited to a simple warning display function, but can be configured so that the notification method, notification intensity, and repetition method vary according to the stage of the determined state.

[0099] The notification providing module (160) can receive a judgment result corresponding to a normal state, an alert state, or a warning state from the state judgment module (150). The notification providing module (160) can apply different notification methods, notification intensity, number of notification repetitions, or notification display times depending on the received judgment stage. For example, in the alert state, a screen display or vibration-centered notification can be provided, and in the warning state, a sound notification and a screen warning can be provided together. Accordingly, the notification providing module (160) can realize differential response at each stage even within the same device.

[0100] The notification providing module (160) can obtain abnormal type, abnormal degree, time of occurrence of abnormality, and related health data summary information from the status determination module (150). Based on this, the notification providing module (160) can not only output a warning but also display or convey which item the abnormality was detected in. For example, it can distinguish and display which item is the main cause among abnormal heart rate, decreased body temperature, or failure to detect movement, thereby supporting the user to more easily identify the cause of the warning.

[0101] In one embodiment, the notification providing module (160) may display a warning message on the smartphone screen and output a warning sound when both heart rate abnormality and no movement are detected. In another embodiment, the notification providing module (160) may provide intermittent vibration in an attention state and continuous vibration and a repetitive warning sound in a warning state. In yet another embodiment, the notification providing module (160) may be configured to repeatedly display the same warning or perform additional notification to another linked terminal if user confirmation input is not received within a certain period of time. Accordingly, the notification providing module (160) may be implemented in a structure that performs both direct user warnings and external linked warnings.

[0102] In addition, the notification providing module (160) can selectively control at least one of the light-emitting unit, sound unit, and haptic unit provided in the swimsuit main body unit (110) or the linkage device, as well as the screen display, vibration, or sound output of the external terminal. For example, the notification providing module (160) can perform a warning centered on the external terminal at a relatively low level of urgency, and when the level of urgency increases, it can simultaneously perform flashing of the light-emitting unit, repeated output of the sound unit, or increase the vibration intensity of the haptic unit. In addition, it can be implemented to prioritize concentrated transmission to an internal facility receiver or management terminal when the current location is identified as an indoor management area, and to increase the operation priority of the self-output unit when it is identified as an open water area.

[0103] The above swimsuit main body unit (110) may provide a support structure and a receiving structure so that the sensor unit (120) and the communication unit (130) can be placed in appropriate locations and protected. The sensor unit (120) can acquire health data including heart rate, body temperature, and movement information, and the communication unit (130) can transmit the health data to an external terminal, for example, a smartphone. The data collection module (140) sorts and stores the health data transmitted from the communication unit (130) in chronological order, and the state determination module (150) can analyze multiple types of health data by time interval to determine whether there are abnormal signs. In addition, the notification provision module (160) can provide step-by-step notifications to the user based on the judgment result of the state determination module (150). Accordingly, the entire system of the present invention can be organically connected in a flow of providing a wearing structure → acquiring health data → transmitting data → collecting and sorting data → analyzing and determining the state → providing step-by-step notifications.

[0104] The above state determination module (150) can perform a process to determine the abnormal propulsion state of the user. Here, the abnormal propulsion state may include a state in which the user deviates from a state of generating propulsion in a horizontal direction according to a normal swimming stroke, attempts to expose to the water surface in a near-vertical posture, and the coordination of regular breathing and limb movements breaks down. In one embodiment, the abnormal propulsion state may include a vertical flailing state that can be observed in a pre-drowning situation, but is not limited thereto.

[0105] The above state determination module (150) may collect and analyze at least four derived variables to determine the abnormal propulsion state. The four derived variables may include the phase match, the clothing pressure gradient, the heart rate variability reduction, and the micro-tremor ratio. The derived variables may be configured to represent the swimming technique maintenance state, posture change state, physiological burden state, and muscle response state in an underwater environment from different perspectives, rather than using the biological value or movement value at a single point in time as is.

[0106] First, the phase alignment may be a value representing the degree of alignment between the chest expansion and contraction cycles and the upper and lower limb stroke cycles. The phase alignment may be calculated as a value in the range of 0.0 to 1.0 by aligning the repetition cycle of the chest expansion signal and the repetition cycle of the arm or leg on the time axis within a certain time interval, and then normalizing the phase difference deviation of each repetition interval. A higher phase alignment may be interpreted as a state where breathing and swimming are linked relatively regularly, while a lower phase alignment may be interpreted as a state where the periodic linkage between breathing and swimming is broken.

[0107] Next, the garment pressure gradient may be a pressure difference value measured between the chest section and the abdomen or waist section of the swimsuit body unit (110). The garment pressure gradient may vary depending on whether the user's body axis is close to horizontal or close to vertical in the water, and may be calculated as a relatively large value when the user switches to a vertical posture and the distribution of water pressure and garment tension acting between the chest and lower abdomen changes. The garment pressure gradient may be calculated as a value in kPa using a distributed pressure sensor or a tension sensing sensor.

[0108] In addition, the above-mentioned reduction in heart rate variability may be a value indicating how much the current heart rate variability has decreased compared to the reference heart rate variability value measured during the initial rest period of wear. The above-mentioned reduction in heart rate variability may be set to reflect the pattern of decreasing inter-heartbeat variability in response to increased physiological burden or stress on the user, rather than indicating whether the heart rate itself has increased. The above-mentioned reduction in heart rate variability may be calculated based on heart rate interval data obtained through a photoplethysmography sensor or a bioelectric sensor, and may be expressed in the form of a percentage in one embodiment.

[0109] In addition, the above-mentioned micro-tremor ratio may refer to the ratio of high-frequency band motion signal energy to the total motion signal energy. More specifically, the above-mentioned micro-tremor ratio may be calculated as the ratio of signal energy in a band above a preset frequency to the total effective band signal energy among continuous signals obtained from an inertial sensor or optionally provided bioelectrical sensor. For example, the state determination module (150) may calculate the micro-tremor ratio by separating high-frequency components of 10 Hz or higher into components associated with muscle stiffness, tremors, or irregular micro-movements. The above-mentioned micro-tremor ratio may be used as an indicator representing the pattern of micro-tremors in situations of muscle fatigue accumulation, stiffness, or panic.

[0110] The above state determination module (150) may process the above derived variables in a stepwise filtering manner according to time series, rather than processing them in a simple summation manner. This is to reduce the tendency to immediately classify temporary breathing imbalances in novice swimmers, momentary rhythm breakdowns occurring during high-intensity training, or temporary movement irregularities as crisis situations. Reflecting the fact that underwater crisis situations may generally appear in the order of posture breakdown, changes in propulsion patterns, increased physiological burden, and deterioration of muscle response, or a similar order, the above state determination module (150) may sequentially check whether each of the above derived variables is satisfied.

[0111] The sensor unit (120) can acquire the judgment criteria data in real time. In one embodiment, the sensor unit (120) can measure the expansion and contraction cycles through a strain sensor placed in the chest area and measure the stroke cycle or torso rotation cycle through an inertial sensor placed in the arm or waist area. The state judgment module (150) can calculate the phase alignment degree by aligning each cycle within a certain time interval and normalizing the deviation of the phase difference. Additionally, the sensor unit (120) can measure the pressure in each section through a distributed pressure sensor placed in the chest section and the abdominal or waist section, and calculate the clothing pressure gradient using the difference between each pressure value. Furthermore, the sensor unit (120) can collect heart rate interval data using a photoplethysmography sensor or a bioelectric sensor and calculate the heart rate variability reduction amount. In addition, the sensor unit (120) can calculate the micro-vibration ratio by performing frequency band energy analysis on the continuous signal of an inertial sensor or optionally provided bioelectric sensor.

[0112] In one embodiment, during normal freestyle swimming, the phase alignment may appear in a relatively high range, for example, 0.8 or higher, and the garment pressure gradient may appear in a relatively low range, for example, less than 1.0 kPa. On the other hand, in a situation where the user repeatedly attempts exposure above the water surface in a near-vertical position, the phase alignment decreases, and the garment pressure gradient may rise to a relatively high range, for example, 3.0 kPa or higher. Additionally, if physiological burden increases, the decrease in heart rate variability may increase compared to the initial reference, and if muscle stiffness or irregular tremors occur, the micro-tremor ratio may also increase. However, the above numerical range is merely an example and may vary depending on user characteristics or swimming environment.

[0113] The state determination module (150) can start monitoring by normalizing the continuous data received from the sensor unit (120) into pre-set time interval units. In one embodiment, the continuous data can be divided into a window of 5 seconds and stored and analyzed. The state determination module (150) can first determine whether the phase alignment level drops below a first threshold value. The first threshold value may be set to, for example, 0.5, but is not limited thereto and may be adjusted based on the user's reference data. If the phase alignment level drops below the first threshold value, the state determination module (150) determines that there is a possibility that the connection between breathing and swimming strokes is broken and can activate the next step of determination.

[0114] When the above-mentioned decrease in phase alignment is confirmed, the state determination module (150) can determine whether the state in which the clothing pressure gradient exceeds a second threshold value is maintained for a preset duration or longer within a certain time interval from that point. In one embodiment, the certain time interval may be within 10 seconds, the second threshold value may be 3.0 kPa, and the duration may be 3 seconds or longer. If the state of exceeding the clothing pressure gradient is maintained for a duration or longer, the state determination module (150) can determine that the user's body axis deviates from a horizontal state and the asymmetry of underwater resistance or clothing tension increases. Accordingly, the state determination module (150) can classify the current state as a first-stage caution state corresponding to an abnormal propulsion load.

[0115] After the above-mentioned first-stage warning state is established, the state determination module (150) may further determine whether there is physiological deterioration. More specifically, the state determination module (150) may determine whether the amount of heart rate variability reduction exceeds a third threshold and whether the fine tremor rate exceeds a fourth threshold. In one embodiment, the third threshold may be a 30% increase compared to the initial standard, and the fourth threshold may be a 15% increase compared to the total effective movement signal energy. If at least one of the conditions for the amount of heart rate variability reduction and the fine tremor rate is satisfied, the state determination module (150) may determine that the state is accompanied by physiological burden or muscle response deterioration and may raise the risk level to a second-stage risk state.

[0116] At this time, the state determination module (150) may additionally increase the abnormal propulsion load score in proportion to the degree of increase of at least one of the heart rate variability reduction amount and the micro-tremor ratio after the first stage of caution state is established. That is, the process can not only operate in a stepwise branching manner, but can also be implemented in a manner that subdivides the final risk level by scoring the degree of the derived variable identified at each stage.

[0117] Meanwhile, the state determination module (150) may perform an exception handling procedure to reduce misclassification of a resting state or an intentional stop state as a crisis state. More specifically, the state determination module (150) may determine whether the user is presumed to be in a resting state based on the whole-body movement acceleration, horizontal movement duration, or torso center of movement amount calculated from the inertial sensor before comparing the phase match and the garment pressure gradient. If classified as a resting state, the state determination module (150) may temporarily suspend at least part of the garment pressure gradient determination procedure or the abnormal propulsion state determination procedure. For example, if the user is resting while standing in place, even if the garment pressure gradient temporarily rises, if the whole-body movement amount is low and there are no additional signs of physiological deterioration, it may be classified as a normal state or a state of observation maintenance.

[0118] The determination result of the state determination module (150) can be transmitted to the notification providing module (160). The notification providing module (160) can perform a stepwise notification operation according to the determination result. In one embodiment, in a first-stage caution state, a visual pop-up or vibration notification can be provided on the smartphone screen, and in a second-stage danger state, control can be exercised to transmit location information or a warning signal to an external terminal along with an auditory notification of a higher output. For example, in a second-stage danger state, control can be exercised to output a warning sound of 80 dB or higher, or to transmit current location data together to a rescuer terminal or a guardian terminal. However, the output intensity or transmission target is merely one embodiment and may be changed depending on the environment.

[0119] To exemplarily explain the operation of Process 1 above, multiple simulation scenarios may be established. In a stable breaststroke or freestyle state, the phase congruence is maintained within a high range, and the clothing pressure gradient and the micro-tremor ratio are maintained within a low range, so it can be classified as a normal state. In a high-intensity swimming state, even if the heart rate or exercise volume increases, if the phase congruence is maintained and the clothing pressure gradient does not rise sharply, it can be classified as a normal state. On the other hand, in a beginner's swimming technique breakdown state, the phase congruence decreases and the clothing pressure gradient increases, so it can be classified as a Level 1 Caution state. Furthermore, if accompanied by accumulated fatigue or muscle cramps, the decrease in heart rate variability or the micro-tremor ratio may further increase, upgrading to a Level 2 Danger state.

[0120] For example, if the phase alignment is low but there are almost no valid stroke intervals and the whole-body movement acceleration is also low, the resting state exception rule may be applied first. Accordingly, in a standing resting state or a paused state, even if the clothing pressure gradient appears relatively large, it may not be classified as a crisis state. Conversely, if a rapid decrease in the phase alignment and an increase in the clothing pressure gradient are detected consecutively, followed by an increase in the heart rate variability or the micro-tremor ratio, the state judgment module (150) may determine this as a situation in which the abnormal propulsion state is intensifying and control the warning procedure of the notification provision module (160) to be executed first.

[0121] The first, second, third, and fourth thresholds applied in the above process 1 are not limited to fixed absolute values. Each of the thresholds can be primarily set based on the user's reference data collected during the initial stable swimming phase after wearing the system. For example, individual relative thresholds can be set using the average value of phase alignment, the average value of clothing pressure gradient, the reference value of heart rate variability, and the reference value of micro-tremor ratio measured during the initial 3-minute stable phase. Subsequently, the state determination module (150) can gradually adjust the thresholds based on the statistical values ​​of continuously accumulated activity data, thereby enabling the operation of adaptive reference points that reflect user characteristics, swimming habits, or changes in the underwater environment.

[0122] As such, unlike a method that determines whether there is a crisis based solely on a single biological value or a single movement value, process 1 according to the present embodiment may have a structure that evaluates multiple derived variables—such as the phase match, the clothing pressure gradient, the heart rate variability reduction, and the micro-tremor ratio—step by step over time. Accordingly, transient noise or non-critical motion fluctuations are filtered out at the front end, and cases where physiological deterioration follows after attitude collapse and underwater resistance asymmetry are additionally confirmed at the rear end, thereby enabling more stable determination of abnormal propulsion states.

[0123] The abnormal propulsion load determination logic performed by the state determination module (150) may be configured to calculate a dynamic limit pressure by reflecting the basic pressure deviation between the chest and abdomen measured during the user's initial stable swimming section and the water pressure distribution that changes according to the expected vertical water depth deviation when forming a vertical posture, rather than operating simply based on a fixed pressure value. In one embodiment, the state determination module (150) may derive the dynamic limit pressure by storing the basic pressure deviation exhibited by the user in the initial horizontal swimming state as a reference value, and then reflecting the density of water, gravitational acceleration, and the pressure increase corresponding to the vertical water depth deviation between the chest section and the abdomen or waist section. Accordingly, the state determination module (150) may interpret the same absolute pressure value differently depending on the relationship between the user's posture and underwater position, even if the same absolute pressure value is measured.

[0124] More specifically, the state determination module (150) can store the average pressure difference between the chest section and the abdomen or waist section during the initial stable swimming section as the initial basic pressure deviation, and subsequently calculate the relative depth deviation between the chest section and the abdomen or waist section based on the torso posture or upper / lower position difference at the current point in time. The state determination module (150) can calculate an additional pressure component due to posture change by reflecting a pressure increase component corresponding to water density and gravitational acceleration in the relative depth deviation, and calculate the dynamic limit pressure by adding the additional pressure component to the initial basic pressure deviation. Accordingly, the state determination module (150) can interpret cases where the user's posture change is not significant and cases where a near-vertical posture change is accompanied differently, even if the same absolute pressure value is measured.

[0125] To verify whether the setting of the dynamic limit pressure is appropriate, simulations simulating breaststroke, freestyle, butterfly, turning, underwater rest, beginner vertical swimming, playful splashing, pre-drowning, and actual drowning can be performed on 10 adults. For example, in a stable breaststroke state, the initial basic pressure deviation is measured to be about 0.2 kPa and the vertical depth deviation is measured to be about 0.1 m, so the dynamic limit pressure can be calculated to be about 1.2 kPa, and since the actually measured clothing pressure gradient remains at about 0.5 kPa and the phase match is maintained at about 0.85 or higher, it can be classified as a normal state. In addition, in a stable freestyle state, the initial basic pressure deviation is about 0.3 kPa and there is almost no vertical depth deviation, so the dynamic limit pressure can be calculated to be about 0.6 kPa to 0.7 kPa, and since the actual measured pressure gradient is about 0.4 kPa and the phase alignment is maintained at about 0.9, it can be judged as a normal state. Even in the case of high-intensity butterfly stroke, the vertical depth deviation may increase slightly, causing the dynamic limit pressure to rise to about 2.5 kPa, but since the actual measured pressure gradient remains at about 1.2 kPa and the phase alignment is also maintained at about 0.88, it may not be classified as an abnormal propulsion state.

[0126] On the other hand, in the state of vertical swimming breakdown of a beginner, the initial basic pressure deviation is about 0.3 kPa and the vertical depth deviation increases to about 0.3 m, so the dynamic limit pressure can be calculated to be about 3.0 kPa to 3.2 kPa, and since the actual measured clothing pressure gradient is about 3.3 kPa, exceeding the dynamic limit pressure and the phase alignment also drops to about 0.45, the state judgment module (150) can classify this as a Stage 1 caution state. In addition, in the flailing state corresponding to a premonitory of drowning, the vertical depth deviation increases to about 0.5 m, so the dynamic limit pressure can be calculated to be about 4.8 kPa to 5.0 kPa, and since the actual measured pressure gradient is about 5.3 kPa, exceeding the dynamic limit pressure and the phase alignment drops to about 0.30 or less, an abnormal propulsion load can be clearly detected. In a simulation equivalent to actual drowning, the vertical water depth difference is expanded to about 0.6 m, so the dynamic limit pressure can be calculated to be about 5.8 kPa to 6.0 kPa, and as the actual measured pressure gradient rises to about 6.3 kPa, the phase match rate decreases sharply to about 0.20 or less, so the state judgment module (150) can select this as a high-risk state.

[0127] Meanwhile, when resting underwater while standing, the difference in vertical water depth increases, so the clothing pressure gradient may be measured at approximately 3.5 kPa, but the dynamic limit pressure also rises to approximately 4.2 kPa, and the phase match may be deferred due to insufficient effective stroke intervals or a separate resting state exception rule may be applied first, so it may be classified as a normal state or an observation maintenance state. In addition, when playing by splashing water, the clothing pressure gradient may temporarily rise, but it remains below the dynamic limit pressure and is not accompanied by a rapid drop in the phase match, so it may be classified as a normal state.

[0128] According to the simulation results, if only a fixed threshold of 3.0 kPa is used as in the conventional method, a non-critical state, such as a standing rest, may be mistaken for a critical state, and conversely, there may be a problem in consistently describing a pre-drowning state located near the threshold depending on the user's body type and posture. On the other hand, in this embodiment, the dynamic limit pressure is adjusted by reflecting the basic pressure deviation and the vertical depth deviation for each user, so unnecessary false positives are reduced during normal horizontal swimming or resting states, while risk can be more selectively identified in a pre-drowning state where the decline in phase alignment and the simultaneous deterioration of the clothing pressure gradient occur. However, the numerical values ​​corresponding to the dynamic limit pressure are merely one embodiment and can be gradually adjusted by the state judgment module (150) based on the user's initial data and cumulative swimming history.

[0129] The above-described state determination module (150) can perform a process to determine the risk of heat loss of a user. Here, the risk of heat loss may include an indicator indicating the possibility of a decrease in body temperature due to low external water temperature during underwater activity, changes in the close contact state of the swimsuit body unit (110), water exchange between the inside and outside of the swimsuit body unit (110), and a decrease in the body's heat recovery response. In one embodiment, the risk of heat loss may be used as a judgment criterion for estimating the possibility of progression of hypothermia in stages, but is not limited thereto.

[0130] The above-mentioned state determination module (150) may collect and analyze at least five derived variables to determine the risk of body heat loss. The five derived variables may include the temperature deviation, the water exchange rate, the adhesion stability, the reheat delay time, and the peripheral blood flow defense response index. The derived variables may be configured to show the wearing state of the swimsuit body unit (110), the insulation state inside the swimsuit body unit (110), the change in the distribution of the body surface temperature, and the user's physiological recovery response from different perspectives, rather than using only a single temperature value or a single environmental value.

[0131] First, the above temperature deviation may be a value representing the difference in surface temperature between the torso and limb sections. The above temperature deviation represents the difference in heat distribution between the user's core and extremities, and may be calculated as a relatively large value when a physiological response for core protection occurs as body temperature decreases. The above temperature deviation may be calculated in degrees based on surface temperature data obtained from temperature sensors placed in at least two of the following areas: the chest, abdomen, arms, legs, wrists, and ankles.

[0132] Next, the water exchange rate may be a value representing the relative flow rate of water exchanged per unit time between the inside and outside of the swimsuit body unit (110). The water exchange rate may reflect the pattern of water flowing into or remaining inside the swimsuit body unit (110) being exchanged with external water, and may have a tendency to increase with the widening of gaps in the swimsuit body unit (110), localized peeling, or repetitive large movements. The water exchange rate may not be a direct flow rate measurement, but may be estimated as a relative degree of exchange based on the rate of change in wet area over time, changes in the output of a contact moisture sensor, pressure fluctuation cycles, and the repeatability of contact patterns. In one embodiment, the water exchange rate may be calculated as a converted value corresponding to ml / min or a relative unit equivalent thereto.

[0133] More specifically, the state determination module (150) can analyze together the rate of change in the area of ​​the wet region formed on the inner surface of the swimsuit body unit (110) over a certain time interval, the amount of change in the output of the contact moisture sensor, and the pressure fluctuation cycle appearing in the chest section and the abdominal or waist section. The state determination module (150) can interpret the case where the wet region repeatedly expands and contracts and the moisture sensor output rises and falls in short cycles as a state in which repeated inflow and outflow of external water occurs, and can calculate the converted value of the water exchange rate by weightedly combining the frequency of change and the magnitude of change. Accordingly, the water exchange rate can function as a variable that reflects not merely the degree of wetting at a single point in time, but how often the insulation layer is disturbed over time.

[0134] Additionally, the above-mentioned adhesion stability may be a value indicating how stably the swimsuit body unit (110) maintains a state of adhesion to the skin surface. The above-mentioned adhesion stability may be calculated by combining the adhesion area, uniformity of contact pressure, amount of tension change, and contact maintenance rate during repeated movements, and may appear as a relatively higher value as the adhesion condition is better. The above-mentioned adhesion stability may be calculated using a distributed pressure sensor, a tension sensing sensor, or a strain sensor placed in at least one of the adjacent sections of the chest, abdomen, waist, armpit, and groin. The above-mentioned adhesion stability may be expressed in the form of a relative index of 0 to 100, or a normalized index of 0.0 to 1.0.

[0135] In addition, the reheating delay time may be a value representing the time required for the local body surface temperature to recover to a reference level after a reduction or cessation of movement. More specifically, the reheating delay time may be defined as the time required for the body surface temperature measured at a specific part of the limbs or torso to reach a certain percentage, for example, 95% of the reference local body temperature immediately before the reduction of movement or the average local body temperature during the previous stable period, after the point in time when the user's movement has decreased below a certain level. The reheating delay time may be used as an indicator to determine the extent to which the human body's ability to restore body heat is maintained after a decrease in body temperature has occurred.

[0136] Additionally, the peripheral blood flow defense response index may be a value indicating the pattern of change in peripheral blood flow in response to a body temperature lowering environment. The peripheral blood flow defense response index may be calculated based on photoplethysmography signals measured at the wrist, fingers, ankle, instep, or adjacent areas of the extremities, and may be configured to reflect at least one of the rate of change in pulse wave amplitude, the speed of recovery of pulse wave amplitude, the pattern of amplitude reduction during cold stimulation or temperature lowering periods, and the degree of pulse wave stabilization during recovery periods. The peripheral blood flow defense response index may be used as an indicator to estimate whether the user's autonomic nervous system or peripheral vascular response is relatively maintained or whether the heat defense mechanism is slowing down.

[0137] The above state determination module (150) may process the above derived variables in a stepwise manner according to time series, rather than simply comparing them independently with individual threshold values. This is to reduce the tendency to immediately classify a dangerous state when the external water temperature is low or the surface temperature has temporarily decreased. The above state determination module (150) may sequentially check whether each of the above derived variables is satisfied, reflecting the fact that body heat loss in an underwater environment may generally occur in the order of changes in the close contact state of the swimsuit body unit (110), increased water exchange inside the swimsuit body unit (110), increased imbalance in the body surface temperature distribution, and delayed recovery, or a similar order.

[0138] The sensor unit (120) can acquire the judgment criteria data in real time. In one embodiment, the sensor unit (120) measures the surface temperature of each part through a plurality of temperature sensors distributed in the torso section and limb section, and the state judgment module (150) can calculate the temperature deviation by comparing each temperature value. In addition, the sensor unit (120) can measure pressure changes, wet pattern changes, and tension changes of the swimsuit body unit (110) through a distributed pressure sensor, a contact moisture sensor, and a strain sensor, and the state judgment module (150) can calculate the water body exchange rate and the adhesion stability using the data. Furthermore, the sensor unit (120) collects peripheral pulse wave signals through a photoplethysmography sensor, and the state judgment module (150) can calculate the peripheral blood flow defense response index using the amplitude change rate, recovery speed, or degree of stabilization of the pulse wave signal.

[0139] In one embodiment, under a relatively stable underwater activity state, the seal stability may be maintained in a relatively high range, for example, 80% or more, the water exchange rate may be maintained in a relatively low range, for example, less than 30 ml / min, and the temperature deviation may also be maintained in a relatively small range, for example, less than 1.0 degree. On the other hand, if the seal state of the swimsuit body unit (110) becomes unstable and external water repeatedly flows into the swimsuit body unit (110), the water exchange rate may increase and the temperature distribution difference between the torso section and the limb section may be expanded. However, the above numerical range is merely an example and may vary depending on user characteristics, clothing material, water temperature, and activity type.

[0140] The state determination module (150) can start monitoring by normalizing the continuous data received from the sensor unit (120) into pre-set time interval units. In one embodiment, the continuous data may be divided into windows of 10 seconds or 30 seconds for storage and analysis. The state determination module (150) can first determine whether the close fit stability drops below a first reference value. The first reference value may be set to, for example, 80%, but is not limited thereto and may be adjusted based on reference data from the initial stage of wearing. If the close fit stability drops below the first reference value, the state determination module (150) determines that there is a possibility that the insulation state of the swimsuit body unit (110) may deteriorate and can activate the next step of determination.

[0141] When the above decrease in contact stability is confirmed, the state determination module (150) can determine whether the water exchange rate exceeds a second reference value within a certain time interval and whether the temperature deviation expands beyond a third reference value. In one embodiment, the second reference value may be 30 ml / min and the third reference value may be 1.0 degree, but is not limited thereto. If the water exchange rate exceeding and the expansion of the temperature deviation are confirmed simultaneously or consecutively, the state determination module (150) can determine that the heat loss inside the swimsuit body unit (110) is accelerating. Accordingly, the state determination module (150) can classify the current state as a first-stage caution state where there is a possibility of a decrease in body temperature.

[0142] At this time, the above-mentioned adhesion stability is not used merely as a simple gate condition, but can also influence the way the state judgment module (150) interprets the increase in the water exchange rate or the expansion of the temperature deviation at the same level. For example, the lower the adhesion stability is calculated, the more the state judgment module (150) can interpret the same water exchange rate or temperature deviation condition as a more unfavorable heat loss state. Accordingly, the above-mentioned adhesion stability can be utilized as a correction factor to adjust the degree of increase in the risk of body heat loss.

[0143] After the above-mentioned first-stage cautionary state is established, the state determination module (150) may further determine the user's heat recovery ability. More specifically, the state determination module (150) may identify a section where the user's movement is reduced or stopped, set a reference local body temperature immediately before the reduction in movement or the average local body temperature of the immediately before stable section as a reference value, and then calculate the reheating delay time required for the surface temperature of the corresponding area to recover to a certain percentage of the reference value, for example, 95%. If the reheating delay time exceeds a fourth reference value, the state determination module (150) may determine that the user's heat recovery response is in a reduced state. In one embodiment, the fourth reference value may be set to 3 minutes, but is not limited thereto and may be adjusted according to the reference data for each user.

[0144] Meanwhile, the state judgment module (150) may additionally consider the peripheral blood flow defense response index after the first stage of the cautionary state is established. If the peripheral blood flow defense response index is maintained above a preset standard range, the state judgment module (150) may interpret that the peripheral blood flow control response is still maintained at a certain level. Accordingly, the state judgment module (150) may limit the increase in the risk of body heat loss, correct the interpretation criteria for the reheating delay time, or delay the point of elevation to the second stage of the danger state. Conversely, if the peripheral blood flow defense response index drops below the standard range or does not show a sufficient response during the recovery phase, the state judgment module (150) may determine that the body temperature defense mechanism is weakened and determine whether the second stage of the danger state is present by combining it with the reheating delay time.

[0145] The state determination module (150) can determine a two-stage danger state by comprehensively considering the reheat delay time and the peripheral blood flow defense response index. For example, if the reheat delay time exceeds the fourth reference value and at the same time the peripheral blood flow defense response index drops below the reference range, the state determination module (150) can determine that the body's recovery ability against a drop in body temperature is insufficient and raise the level to a two-stage danger state. Additionally, even if the reheat delay time does not exceed the fourth reference value, if the water exchange rate remains at a high level for a long time and the peripheral blood flow defense response index continues to drop, the state determination module (150) may be implemented to set an observation reinforcement state equivalent to a two-stage danger state.

[0146] The state judgment module (150) may perform an exception handling procedure to reduce false positives. For example, during high-intensity swimming training, the closeness stability may temporarily decrease and the water body exchange rate may increase due to repetitive large movements. However, even in such cases, if the temperature deviation remains within a limited range, the peripheral blood flow defense response index is maintained above a reference range, and the reheating delay time appears relatively short, the state judgment module (150) may interpret this as a temporary change due to increased activity intensity. In this case, the state judgment module (150) may control the transition to a Level 2 danger state for a certain period of time, temporarily relax the judgment criteria for the reheating delay time, or perform additional monitoring while maintaining a Level 1 caution state.

[0147] The determination result of the state determination module (150) can be transmitted to the notification provision module (160). The notification provision module (160) can perform a stepwise notification operation according to the determination result. In one embodiment, in a first-stage caution state, the user may be advised to reduce the intensity of underwater activity, rest, or move out of the water by vibration, screen display, or intermittent sound output. Additionally, in a second-stage danger state, a warning message may be transmitted to a smartphone, guardian terminal, rescuer terminal, or surrounding wearable device along with a stronger auditory alert. In this case, the notification provision module (160) may be controlled to transmit current water temperature data, surface temperature data of the torso and limb sections, the reheating delay time, and the body heat loss risk level information together.

[0148] To exemplarily explain the operation of Process 2 above, multiple simulation scenarios may be established. In a relatively stable swimming state, the closeness stability is maintained at a high level, the water exchange rate is low, and the temperature deviation is small, so it can be classified as a normal state. In a high-intensity activity state, even if the closeness stability is temporarily reduced or the water exchange rate increases, if the peripheral blood flow defense response index is maintained and the reheat delay time is not long, it can be maintained as a Stage 1 caution state or a normal state. On the other hand, if the wearing condition of the swimsuit body unit (110) becomes loose or deteriorated, causing the water exchange rate to repeatedly increase and the temperature deviation to expand, and subsequently the reheat delay time to become long and the peripheral blood flow defense response index to decrease, the state judgment module (150) may interpret this as a state where the risk of heat loss accumulates and upgrade it to a Stage 2 danger state.

[0149] For example, if the above-mentioned adhesion stability is somewhat low but the increase in the above-mentioned water exchange rate ends within a short period of time, the above-mentioned temperature deviation returns to the reference range, and the above-mentioned peripheral blood flow defense response index is maintained relatively stably, the above-mentioned state judgment module (150) may classify this as a temporary disturbance. Conversely, if the above-mentioned adhesion stability is continuously degraded and the above-mentioned water exchange rate is repeatedly increased together, and the above-mentioned temperature deviation is expanded while the above-mentioned reheating delay time is prolonged and the above-mentioned peripheral blood flow defense response index is also degraded, the above-mentioned state judgment module (150) may determine this as a state where body heat loss accumulates and recovery capacity decreases, and control the warning procedure of the above-mentioned notification provision module (160) to be executed preferentially.

[0150] The first, second, third, and fourth reference values ​​applied in the above process 2 are not limited to fixed absolute values. Each of the above reference values ​​may be primarily set based on user reference data collected during the initial warm-up phase or the stable swimming phase after wearing the system. For example, relative reference values ​​may be set using the average value of the close-fit stability measured during the initial adaptation phase, the average range of the water body exchange rate, the reference range of the temperature deviation, the individual average value of the reheat delay time, and the reference response value of the peripheral blood flow defense response index. Subsequently, the state judgment module (150) may gradually adjust the reference values ​​based on accumulated activity data, water temperature changes, and activity intensity statistics, and accordingly, an adaptive reference point reflecting user characteristics, the wearing status of the swimsuit body unit (110), and changes in the underwater environment may be operated.

[0151] As such, unlike a method that determines whether body temperature decreases based solely on a simple external water temperature or a single surface temperature value, process 2 according to the present embodiment may have a structure that evaluates multiple derived variables, such as the temperature deviation, the water body exchange rate, the adhesion stability, the reheat delay time, and the peripheral blood flow defense response index, stepwise over time. Accordingly, by reflecting together the change in the wearing state of the swimsuit body unit (110), the pattern of heat loss inside the swimsuit body unit (110), and the user's physiological recovery response, it can be implemented to enable more selective determination of the risk of body temperature loss.

[0152] The body heat loss risk determination logic performed by the state determination module (150) may be configured to calculate a variable delay limit time that reflects the peripheral blood flow defense response index and water temperature conditions together, rather than applying a fixed absolute standard to the reheat delay time. In one embodiment, the state determination module (150) may calculate the variable delay limit time by reflecting the degree of decline of the current peripheral blood flow response compared to the normal peripheral blood flow response in the basic recovery time, and adding a correction value based on the water temperature deviation thereto. However, in order to reduce the excessive delay in the actual risk determination caused by setting an excessively long waiting time, the variable delay limit time may be set with an upper and lower limit together so as to be operated within a range of, for example, at least 3 minutes and at most 6 minutes.

[0153] To verify the validity of the above variable delay limit time, 10 exemplary scenarios with different water temperatures and wearing conditions may be established. For example, in an indoor swimming pool environment where the water temperature is approximately 28 degrees, if the above-mentioned seal stability is at a level of approximately 95%, the above-mentioned water exchange rate is at a level of approximately 10 ml / min, and the above-mentioned peripheral blood flow defense response index is close to the normal range, the above-mentioned variable delay limit time may be set to approximately 3 minutes, and the actual reheat delay time may be measured to be within 2 minutes, so it may be classified as a normal state. Even in the same indoor environment, if the above-mentioned seal stability decreases to a level of approximately 85%, the above-mentioned water exchange rate increases to a level of approximately 20 ml / min, and the above-mentioned peripheral blood flow defense response index decreases somewhat, the above-mentioned variable delay limit time may be adjusted to a level of approximately 3 minutes and 20 seconds, and if the actual reheat delay time recovers within approximately 3 minutes, it may be classified as a normal or observation-maintaining state.

[0154] In addition, in an outdoor pool with a water temperature of about 24 degrees, if the above-mentioned adhesion stability is measured at about 90%, the above-mentioned water exchange rate at about 15 ml / min, and the above-mentioned peripheral blood flow defense response index at about 80%, the above-mentioned variable delay limit time can be calculated to be about 3 minutes 40 seconds to 3 minutes 50 seconds. In comparison, if the above-mentioned adhesion stability is lowered to about 75% and the above-mentioned water exchange rate is increased to about 40 ml / min even at the same water temperature, the above-mentioned variable delay limit time can be adjusted to about 4 minutes 10 seconds to 4 minutes 20 seconds, and if the actual reheat delay time exceeds this range, it can be upgraded from a Level 1 caution state to a Level 2 danger state.

[0155] In a valley water environment with a lower water temperature of approximately 20 degrees, even if the above-mentioned adhesion stability is good and the above-mentioned water exchange rate is low, the above-mentioned variable delay limit time may be extended to approximately 4 minutes 30 seconds to 5 minutes due to a decrease in the above-mentioned peripheral blood flow defense response index. In this case, if the actual reheating delay time remains at approximately 4 minutes, a false positive may occur based on a fixed 3-minute standard, but in this embodiment, it can be interpreted as being within the normal recovery range. On the other hand, if the above-mentioned adhesion stability is significantly reduced to approximately 60% at the same water temperature, the above-mentioned water exchange rate increases to approximately 80 ml / min, and the above-mentioned peripheral blood flow defense response index decreases to approximately 40%, the above-mentioned variable delay limit time may be increased to approximately 5 minutes 30 seconds. However, even in this case, an excessive waiting time is not allowed indefinitely according to the above-mentioned upper limit rule, and if the actual reheating delay time appears to be approximately 6 minutes or more, it may be classified as a dangerous state.

[0156] Additionally, in a low-temperature sea environment where the water temperature is approximately 18 degrees, even if the above-mentioned adhesion stability and above-mentioned water exchange rate conditions are good, the above-mentioned variable delay limit time may be adjusted to approximately 4 minutes 50 seconds to 5 minutes. If the above-mentioned adhesion stability decreases to approximately 50% and the above-mentioned water exchange rate increases to approximately 100 ml / min due to suit damage or poor adhesion of the above-mentioned swimsuit body unit (110), the above-mentioned variable delay limit time may be limited to approximately 6 minutes, which is the maximum upper limit. In this case, if the actual reheating delay time exceeds approximately 6 minutes and the above-mentioned temperature deviation and the above-mentioned peripheral blood flow defense response index are simultaneously confirmed, the above-mentioned state judgment module (150) may determine this as a state where the risk of hypothermia accumulates and activate a 2-stage risk state.

[0157] According to the simulation results, the conventional method of uniformly fixing the reheating delay time to 3 minutes may lead to misidentifying the normal recovery range as a danger in environments where the water temperature is low and peripheral blood flow naturally decreases. On the other hand, in this embodiment, the variable delay limit time is flexibly adjusted by reflecting the peripheral blood flow defense response index and water temperature conditions. Therefore, while accommodating the normal recovery delay in a low-temperature environment, it is possible to more selectively identify a dangerous state when the decrease in adhesion stability, the increase in the water body exchange rate, and the prolonged reheating delay time occur together. However, the variable delay limit time may be adjusted according to the user's basal body temperature response, activity intensity, and underwater environment history, and an upper limit may be applied to reduce the allowance of excessive delay.

[0158] The above-described state determination module (150) can perform a process to determine the user's immersion risk threshold. Here, the immersion risk threshold may include an indicator that indicates, in stages, a state in which physiological and dynamic collapse progresses while repeatedly failing to secure breathing above the water surface, distinguishing whether the user is in a state of simple diving, changing direction, or temporary rest during underwater activity. In one embodiment, the immersion risk threshold may be used as a judgment criterion for estimating, in stages, a pre-drowning state or the possibility of drowning progression, but is not limited thereto.

[0159] The state determination module (150) may collect and analyze at least six derived variables to determine the flooding risk threshold. The six derived variables may include the flooding accumulation time, the number of failed resurfacing attempts, the breathing non-synchronization index, the buoyancy recovery delay time, the dynamic buoyancy response index, the oxygen saturation descent rate, and the high-frequency muscle spasm energy. The derived variables may be configured to represent, from different perspectives, not merely using water depth or the presence or absence of movement, the repeated frustration of attempts to secure breathing above the water surface, the imbalance of breathing movements, the delay or weakening of the ascent response after inhalation, the rate of hypoxia progression, and the pattern of panic or muscle rigidity.

[0160] First, the aforementioned accumulated immersion time may refer to the time during which the upper body reference point or the breathing judgment reference point remains located below the water surface continuously or cumulatively. The aforementioned accumulated immersion time does not simply refer to the dive time itself, but can be utilized as a variable that amplifies the degree of crisis progression when combined with the number of failed resurfacing attempts and subsequent physiological responses. The aforementioned accumulated immersion time may be calculated in seconds based on a hydrostatic pressure sensor, a depth estimation sensor, or an upper body position estimation signal.

[0161] Next, the aforementioned number of failed resurfacing attempts may refer to the number of times a pattern of the upper body reference point failing to reach a preset breathing height and descending again was detected, despite an attempt at upward propulsion or ascent. The number of failed resurfacing attempts indicates a pattern in which the user attempts to surface but fails to secure a breathing state on their own, and can be utilized as an indicator reflecting the progression of a submersion risk distinct from voluntary underwater swimming.

[0162] Additionally, the above respiratory dissonance index may be a value indicating the degree of temporal discrepancy between the chest expansion signal and the abdominal expansion signal. Under normal breathing conditions, the expansion and contraction of the chest and abdomen tend to have a constant time relationship, but in the event of panic, abnormal breathing drive, or irregular breathing due to water inflow, the phase difference between the waveforms of the chest and abdomen may increase. The above respiratory dissonance index may be expressed as a normalized value of 0.0 to 1.0 or a relative index equivalent thereto.

[0163] In addition, the above buoyancy recovery delay time may refer to the time required from the moment an inhalation signal is generated until the upward displacement actually begins. The above buoyancy recovery delay time may be used as an indicator to determine whether an upward response corresponding to the inhalation appears late, even if the user performs an inhalation. The above buoyancy recovery delay time may be calculated as the time difference between the inhalation start time confirmed by a chest strain sensor or a respiration detection sensor and the actual upward displacement start time confirmed by an inertial sensor or a depth change signal.

[0164] In addition, the dynamic buoyancy response index may be a value reflecting the magnitude of the upward displacement occurring within a certain time after inhalation, the ratio of the upward displacement to the chest expansion amount, or the repetitive stability of the upward amount linked to the inhalation event. The dynamic buoyancy response index can be utilized as an indicator to show the extent to which the user actually secures a buoyancy recovery effect, separate from the buoyancy recovery delay time. A relatively larger value of the dynamic buoyancy response index may indicate a state where the upward response after inhalation is relatively good, while a relatively smaller value may indicate a state where the upward response relative to inhalation is weak.

[0165] In addition, the above oxygen saturation rate of decline may refer to the slope of the decrease in oxygen saturation per unit time. The above oxygen saturation rate of decline can be used as an indicator representing the speed of hypoxia progression and can act as a weighting factor to shorten the waiting time for stage transitions during the flood risk assessment process or to correct the threshold criterion for the number of re-floating failures.

[0166] Finally, the high-frequency muscle spasm energy may refer to the energy amount of involuntary fine motor components that appear during extreme fear, physical decline, or muscle rigidity. The high-frequency muscle spasm energy may be calculated from the high-frequency band energy of the electromyography signal if an electromyography sensor is optionally provided, or it may be generally calculated using the high-frequency component of the inertial sensor signal. The high-frequency muscle spasm energy may be utilized not merely as a simple amount of movement, but as an auxiliary axis to determine whether a state of panic or rigidity is present.

[0167] The above state judgment module (150) can perform a stepwise judgment procedure that reflects the order in which the crisis situation intensifies over time, instead of simply summing the above derived variables to produce a single result. This is to reduce the misclassification of a situation in which a user performs underwater swimming or changes direction underwater with purpose as an actual flooding crisis situation. The above state judgment module (150) can sequentially check whether each of the above derived variables is satisfied by reflecting that in an actual flooding crisis situation, the user attempts to secure breathing above the water surface but repeatedly fails, the breathing pattern becomes unstable in the process, the upward response after inhalation is delayed or weakened, and subsequently, the progression of hypoxia and deterioration of muscle response may follow.

[0168] The sensor unit (120) can acquire data corresponding to the judgment criteria in real time. In one embodiment, the sensor unit (120) can detect a change in the relative depth of the upper body reference point through a water pressure sensor or a depth estimation sensor, and measure vertical acceleration and upward movement patterns through an inertial sensor. The state judgment module (150) can determine whether there was an attempt at upward propulsion based on the vertical acceleration, and then count the number of failed re-surfacements by checking whether the upper body reference point reaches a preset breathing height. Here, the breathing height may be set to a height corresponding to, for example, 5 cm above the water surface, but is not limited thereto and can be adjusted based on the normal breathing trajectory of each user.

[0169] Additionally, the sensor unit (120) can acquire expansion and contraction waveforms through strain sensors placed in the chest and abdomen, respectively, and the state determination module (150) can calculate the respiratory non-synchronization index by aligning each waveform in a time series and normalizing the deviation of the phase difference. Furthermore, the state determination module (150) can calculate the buoyancy recovery delay time by measuring the time difference between the initiation time of inhalation detected by the chest strain sensor and the initiation time of upward displacement detected by the inertial sensor or the depth change signal. Additionally, the state determination module (150) can calculate the dynamic buoyancy response index using the maximum value of upward displacement that occurred in a certain time interval after the initiation of inhalation, the ratio of upward displacement to the chest expansion amount, or the stability of the amount of ascent for multiple inhalation events.

[0170] In addition, the sensor unit (120) can continuously collect oxygen saturation data using an optical sensor or an oxygen saturation sensor, and the state determination module (150) can calculate the oxygen saturation decrease rate using the oxygen saturation decrease slope over a certain time interval. Furthermore, the sensor unit (120) can acquire high-frequency micro-motion signals through an inertial sensor or an optionally provided bioelectric sensor, and the state determination module (150) can calculate the high-frequency muscle spasm energy by separating signal energy in a band above a preset frequency.

[0171] In one embodiment, under conditions of relatively stable underwater swimming or regular underwater activity, the number of re-ascent failures may not accumulate, the respiratory desynchrony index may be maintained within a low range, the buoyancy recovery delay time may be short, and the dynamic buoyancy response index may be maintained above a certain level. On the other hand, if the user repeatedly attempts to surface but fails, the number of re-ascent failures may increase, the buoyancy recovery delay time may lengthen, and the dynamic buoyancy response index may show a tendency to decrease. Additionally, if panic or muscle rigidity is present, the respiratory desynchrony index and the high-frequency muscle spasm energy may rise together, and if hypoxia progresses rapidly, the rate of oxygen saturation decline may also increase. However, the above numerical range is merely an example and may vary depending on user characteristics, proficiency, type of swimming technique, and environmental conditions.

[0172] The state determination module (150) can start monitoring by normalizing the continuous data received from the sensor unit (120) into pre-set time intervals. In one embodiment, the continuous data may be divided into windows of 3 seconds, 5 seconds, or 10 seconds for storage and analysis. The state determination module (150) can first check whether the accumulated immersion time exceeds a first reference time. The first reference time may correspond to a pre-set basic allowable diving time or a normal diving time per user, and if the first reference time is exceeded, the state determination module (150) can activate the tracking of the number of resurfacing failures and subsequent determination procedures. At this time, the accumulated immersion time does not remain merely a starting condition, but can be utilized as a weighting factor so that even with the same number of resurfacing failures or the same breathing non-synchronization index conditions, a longer accumulated immersion time is confirmed to be interpreted as a higher immersion risk threshold.

[0173] When tracking the number of re-floating failures is initiated, the state determination module (150) can determine whether the number of re-floating failures exceeds a second reference number. In one embodiment, the second reference number may be three times, but is not limited thereto and may be adjusted according to the normal breathing recovery pattern and ascent trajectory for each user. If the number of re-floating failures exceeds the second reference number, the state determination module (150) can determine that the user is having difficulty securing a state where they can breathe above the water surface on their own and classify it as a first-stage danger state.

[0174] After the above-mentioned first-stage danger state is established, the state determination module (150) may further determine the breathing non-synchronization index, the buoyancy recovery delay time, and the dynamic buoyancy response index. More specifically, the state determination module (150) may determine whether the breathing non-synchronization index exceeds a third reference value, whether the buoyancy recovery delay time exceeds a fourth reference time, and whether the dynamic buoyancy response index decreases below a fifth reference value. In one embodiment, if at least one of the breathing non-synchronization index condition and the buoyancy recovery delay time condition is satisfied, and at the same time the dynamic buoyancy response index decreases below the fifth reference value, the state determination module (150) may interpret this as a state where both the user's breathing ability and buoyancy recovery ability are weakened, and may upgrade to a second-stage emergency state. Accordingly, rather than being established by a single variable alone, the second-stage emergency state may be determined based on a state where the breathing drive abnormality or ascent response delay appears after the number of re-floating failures, and the dynamic buoyancy response also weakens.

[0175] Additionally, the state judgment module (150) may reflect the oxygen saturation rate of decline and the high-frequency muscle spasm energy as acceleration judgment or weighting judgment factors. For example, if the oxygen saturation rate of decline exceeds the sixth reference value, the state judgment module (150) may determine that the hypoxia is progressing rapidly and adjust the second reference count downward, or shorten the waiting time between the first stage danger state and the second stage emergency state. Additionally, if the high-frequency muscle spasm energy exceeds the seventh reference value, the state judgment module (150) may interpret it as a state accompanied by panic or muscle rigidity and weight the second stage emergency state judgment, or evaluate it as a higher flood risk threshold even under the same condition of the number of re-injury failures.

[0176] The state judgment module (150) may perform a separate exception handling procedure to reduce misclassification of exceptional situations. For example, when a skilled swimmer performs long-distance underwater swimming, underwater direction changes, or technical training, a movement pattern different from that of a crisis situation may be observed even if the accumulated submersion time increases. Accordingly, the state judgment module (150) may determine the horizontal movement speed, the continuity of the horizontal movement, and the regularity of the stroke trajectory in parallel. If the horizontal movement speed is maintained stably above a preset range, the stroke trajectory repeatedly shows a consistent pattern, and irregular upward propulsion corresponding to the failed attempt at resurfacing is not detected, the state judgment module (150) may interpret this as a purposeful voluntary underwater activity and temporarily suspend at least part of the submersion crisis judgment procedure. Additionally, even if the accumulated submersion time is long, if the dynamic buoyancy response index is maintained stably and the breathing non-synchronization index remains in a low range, the state judgment module (150) may be implemented to set an observation maintenance state.

[0177] The determination result of the state determination module (150) can be transmitted to the notification provision module (160). The notification provision module (160) can perform stepwise notification operations according to the determination result. In one embodiment, in a first-stage danger state, vibration or preliminary warning may be provided to the user using a haptic output unit provided in the swimsuit body unit (110) or a linked external terminal, and a caution notification may be transmitted to a guardian terminal or a management terminal. In addition, in a second-stage emergency state, along with providing a stronger auditory or visual notification, the user's current location may be estimated based on location information of an external terminal linked through the communication unit (130), identification information of a location reference device installed in the swimming pool, or indoor location estimation information, and then controlled to transmit a warning message to a rescuer terminal or a central management system. At this time, the transmitted information may include the water depth data, the accumulated submersion time, the number of failed resurfacing attempts, and the submersion crisis stage information.

[0178] To exemplarily explain the operation of Process 3 above, multiple simulation scenarios may be established. In a relatively stable underwater state, even if the accumulated submersion time increases, the number of failed resurfacing attempts does not accumulate, the horizontal movement is maintained stably, and the respiratory non-synchronization index and the high-frequency muscle spasm energy remain in a low range, so it can be classified as a normal state or an observation maintenance state. On the other hand, if the user attempts to secure breathing above the water surface but the number of failed resurfacing attempts repeatedly increases, the buoyancy recovery delay time becomes long, and the dynamic buoyancy response index decreases, it can be classified as a Stage 1 danger state or a Stage 2 critical state. In addition, if the oxygen saturation descent rate increases rapidly along with the number of failed resurfacing attempts or the high-frequency muscle spasm energy appears high, the state judgment module (150) may interpret this as a crisis intensification state and advance the time to upgrade the stage.

[0179] For example, even if the above-mentioned accumulated time of submersion increases, if the above-mentioned horizontal movement speed is maintained stably, the above-mentioned stroke pattern is regular, and the above-mentioned dynamic buoyancy response index is maintained above a certain level, it can be interpreted as a state of voluntary underwater swimming. Conversely, if the above-mentioned number of re-surfacement failures accumulates, the above-mentioned breathing non-synchronization index increases, the above-mentioned buoyancy recovery delay time becomes longer, and the above-mentioned dynamic buoyancy response index decreases, and this is continuously confirmed, the state judgment module (150) can determine this as a state where the risk of submersion is intensifying and control the warning procedure of the above-mentioned notification provision module (160) to be executed preferentially.

[0180] The first reference time, second reference number, third reference value, fourth reference time, fifth reference value, sixth reference value, and seventh reference value applied in the above process 3 are not limited to fixed absolute values. Each of the above reference values ​​can be primarily set based on the user's reference data collected during the initial stabilization phase or normal swimming performance phase after wearing the system. For example, relative reference values ​​can be set using the normal underwater swimming time, normal breathing recovery trajectory, average rising response amount after inhalation, the reference range of the breathing desynchronization index, the reference slope of the oxygen saturation change, and the reference range of the high-frequency muscle spasm energy measured in the initial phase. Subsequently, the state judgment module (150) can gradually adjust the above reference values ​​based on accumulated activity data, swimming type, proficiency, water temperature, wave environment, and activity intensity statistics, and accordingly, an adaptive reference point reflecting user characteristics and the underwater environment can be operated.

[0181] As such, unlike a method that determines the presence of a flooding crisis based solely on water depth, the presence or absence of movement, or a single biological value, Process 3 according to the present embodiment may have a structure that evaluates multiple derived variables—such as the accumulated flooding time, the number of failed re-surfacements, the respiratory non-synchronization index, the buoyancy recovery delay time, the dynamic buoyancy response index, the oxygen saturation descent rate, and the high-frequency muscle spasm energy—step by step over time. Accordingly, it can be implemented to more selectively distinguish between voluntary underwater activity and a flooding crisis state with reduced control, and to differentially activate rescue response procedures according to the degree of crisis progression.

[0182] The flooding risk threshold determination logic performed by the state determination module (150) may be configured not merely to determine whether vertical acceleration exists, but to calculate the necessary upward acceleration conditions to secure a state of being able to breathe above the water surface by considering the wearer's body weight, the increase in buoyancy due to chest expansion, and the underwater resistance component due to swimming technique. In one embodiment, the state determination module (150) may calculate the necessary upward acceleration by combining the wearer's effective underwater weight, the increase in buoyancy due to chest expansion, and the underwater resistance component, and may count the number of failed re-floating attempts by comparing the measured actual upward acceleration with the necessary upward acceleration. At this time, the necessary upward acceleration is not used only as a simple instantaneous acceleration comparison, but may be interpreted together with the amount of upward displacement reached within a certain time and whether a breathing height has been reached.

[0183] To verify the validity of the above-mentioned required upward acceleration condition, ten scenarios with different body weights and chest expansion states can be set up as examples. For example, if the body weight is approximately 60 kg, the maximum inspiratory state is present, and underwater resistance is low, the above-mentioned required upward acceleration can be calculated to be approximately 1.2 m / s², and if the actual measured upward acceleration is approximately 1.5 m / s² and the above-mentioned breathable height is reached within a certain time, it can be judged as a successful ascent. Additionally, even if the body weight is approximately 75 kg, if the maximum inspiratory state is present and underwater resistance is low, the above-mentioned required upward acceleration can be calculated to be approximately 1.5 m / s², and if the actual measured value is approximately 1.6 m / s², it can be classified as a successful normal ascent. Even if the body weight is about 50 kg and the maximum inhalation state and there is a normal level of resistance, if the required upward acceleration is calculated to be about 1.0 m / s² and the actual measured value is about 1.3 m / s², the state judgment module (150) can interpret this as a voluntary and successful attempt at injury.

[0184] On the other hand, if a user weighing about 75 kg ingests water and approaches a minimum inhalation state and the underwater resistance increases, the required upward acceleration may rise to a level of about 3.5 m / s², but if the actual measured upward acceleration remains at a level of about 1.2 m / s² and fails to reach the breathing height within a certain time, one instance of the re-ascent failure may be accumulated. Additionally, if the user weighs about 90 kg, is in a minimum inhalation state, and the underwater resistance is very high, the required upward acceleration may be calculated to be about 4.2 m / s², but if the actual upward acceleration is only about 2.0 m / s² and the upward displacement is also insufficient, the state judgment module (150) may count this as a clear ascent failure. In cases where the body weight is approximately 70 kg and there is a condition of difficulty breathing and high underwater resistance, the required upward acceleration can be calculated to be approximately 3.8 m / s², and if the actual measured upward acceleration is only about 1.5 m / s², the number of failures to resurface may increase.

[0185] In addition, in scenarios accompanied by a panic state, the respiratory non-synchronization index and the dynamic buoyancy response index may be considered together so that the swimming is not interpreted as normal swimming merely because the movement is large. For example, in a situation where a user weighing about 65 kg enters a panic state and the respiratory non-synchronization index increases rapidly and underwater resistance is high, the required upward acceleration may be calculated to be about 3.0 m / s², but the actual upward acceleration may be only about 1.0 m / s² and the amount of ascent after inhalation may not be sufficient. In this case, the state judgment module (150) may not interpret the swimming as a normal state merely based on the presence of movement due to struggling, but may classify it as a flooding crisis state by combining the increase in the number of failed re-ascents and the deterioration of the respiratory non-synchronization index.

[0186] Based on the simulation results above, in conventional structures that make judgments based solely on the presence of simple vertical acceleration, there is a risk that a user intentionally performing underwater swimming may be mistaken for a submerged state, and conversely, that irregular, large movements in a panic state may be mistaken for normal swimming motions. However, in this embodiment, by stepwise verifying whether the actual upward acceleration falls short of the required upward acceleration, whether the breathable height has actually been reached, whether the number of failed re-ascent attempts accumulates, and whether the breathing desynchronization index deteriorates together, it is possible to more selectively distinguish between voluntary underwater swimming and an actual submerged risk state. In particular, since the required upward acceleration condition reflects the wearer's body weight, buoyancy status, and resistance conditions, even the same upward acceleration value can be interpreted differently depending on the user's situation. Accordingly, this embodiment can be utilized to further specify the basis for counting the number of failed re-ascent attempts and to enhance the explainability of determining the submerged risk threshold.

[0187] The above notification providing module (160) can perform a process to dynamically determine the urgency of a notification when a crisis situation occurs, and to variably control the output intensity, output form, transmission range, and transmission cycle of the notification according to the urgency. Here, the dynamic notification urgency may include a control indicator calculated by reflecting not only the speed at which the user's biological condition deteriorates, but also the possibility of the rescue request being transmitted externally, the possibility of the surroundings recognizing the rescue request, and the possibility of a response from the rescue response entity. In one embodiment, the dynamic notification urgency may be used as a judgment criterion for adjusting the priority of the warning method in different underwater environments, such as a swimming pool, water park, beach, open water, or indoor tank, but is not limited thereto.

[0188] The above notification providing module (160) may collect and analyze at least six derived variables to determine the dynamic notification urgency. The six derived variables may include the deterioration acceleration, the communication attenuation index, the structural visibility obstruction index, the response delay time, the cumulative number of response terminals, and the number of re-floating failures. The derived variables may be configured to reflect the user's crisis intensification speed, external communication network status, on-site rescue difficulty, the responsiveness of the warning recipient, and the degree of flood crisis progression derived from the preceding process from different perspectives, rather than based solely on a single biological value or a single environmental value.

[0189] First, the deterioration acceleration may refer to the rate of increase or the amount of change in the slope of increase over time of the integrated risk score derived from the state determination module (150). The deterioration acceleration can be used as a value indicating how quickly the risk score is deteriorating within a short period of time, regardless of whether the risk score itself is high. The notification providing module (160) may interpret that the greater the deterioration acceleration, the more likely the user's condition is to change in a more unfavorable direction within a short period of time, and thus may adjust the initial notification intensity or initial transmission priority upward.

[0190] Next, the communication attenuation index may be a value indicating the degree of deterioration of the connection status between the communication unit (130) and an external terminal or an external network. The communication attenuation index may be calculated based on at least one of the following: packet loss rate, wireless signal strength degradation rate, retransmission rate, continuous connection maintenance rate, round-trip delay time, or whether connection retries occur more than a preset number of times. As the communication attenuation index increases, the likelihood of a warning message reaching the external terminal reliably may decrease; therefore, the notification providing module (160) may control the priority of its own output unit or the repeated transmission of the same content through multiple paths according to the increase in the communication attenuation index.

[0191] Additionally, the structural visibility obstruction index may be a value indicating the degree to which it is difficult for a person in the vicinity to perceive the wearer or a distress signal by sight or short-range means. The structural visibility obstruction index may be calculated based on at least one of ambient illumination, water surface variability, water surface reflection intensity, degree of droplet generation, wave intensity, turbidity, rain or fog environment, and frequency of water surface disturbance. For example, if the illumination is low and the waves or reflections on the water surface are large, the structural visibility obstruction index may be calculated to be relatively high. As the structural visibility obstruction index increases, it may be difficult for a person in the vicinity to directly perceive the wearer's condition or confirm their location visually; therefore, the notification providing module (160) may increase the output intensity of the visual signal or increase the repetition frequency of the short-range acoustic alarm.

[0192] Additionally, the response delay time may be a value representing the time elapsed from the moment the notification providing module (160) transmits a first warning message to an external terminal until a reception acknowledgment or response signal is returned from a pre-designated guardian terminal, administrator terminal, rescue worker terminal, or central management system. The response delay time does not merely refer to the communication speed, but may also reflect the time taken for the external party to recognize the warning and acknowledge or accept it. The longer the response delay time, the more it may be interpreted as a state in which the actual recognition or initiation of response by the recipient of the warning is delayed.

[0193] Additionally, the accumulated number of response terminals may refer to the number of external terminals that have acknowledged receipt or returned a response signal after receiving a warning. Although the accumulated number of response terminals does not have the same meaning as the number of personnel actually participating in the rescue, it can be used as an indirect indicator representing the number of external terminals that have recognized the rescue request. Since the likelihood of the rescue request being received and recognized externally increases as the accumulated number of response terminals increases, the notification providing module (160) may control the increase in the self-alarm or increase the waiting time until entry into the maximum output mode when the accumulated number of response terminals is secured above a certain number, even under the same deterioration acceleration conditions.

[0194] In addition, the number of re-floating failures is a value derived in process 3 and may be a variable indicating a pattern in which the user attempts to secure breathing above the water surface but repeatedly fails. The notification providing module (160) does not use the number of re-floating failures as a simple reference value, but links it to an input value that reflects the actual degree of flooding crisis progression, so that even under the same communication attenuation index or the same response delay time conditions, if the number of re-floating failures is calculated to be larger, it can be interpreted as a higher notification urgency.

[0195] The above notification providing module (160) can perform a step-by-step judgment structure that considers both the degree of biological crisis progression and the degree of deterioration in the possibility of rescue, rather than processing by simply summing the derived variables to repeatedly output the same alarm. This is intended to allow the entry into an excessive self-output mode to be deferred if the surrounding environment is stable and the rescue response is rapid even when the user's condition reaches a crisis level, and conversely, to allow a stronger warning means to be activated first if the external rescue response is delayed or visibility and communication conditions are unfavorable, even though the user's condition is deteriorating relatively rapidly.

[0196] The notification providing module (160) can calculate the deterioration acceleration based on the integrated risk score history received from the state determination module (150). In one embodiment, the notification providing module (160) can calculate the deterioration acceleration by comparing the increasing slope of the integrated risk score array stored over a certain time interval. Additionally, the communication unit (130) can measure the packet loss rate, wireless signal strength, the number of retransmissions, and the round-trip delay time of the response packet, and the notification providing module (160) can calculate the communication attenuation index using this information. Furthermore, the structural visibility obstruction index can be calculated using an illuminance detection unit, a wave detection unit, or an environment detection unit equipped in the swimsuit main body unit (110) or an external device connected thereto. Additionally, the notification providing module (160) can calculate the response delay time by comparing the warning transmission time and the response signal reception time using its own timer function, and can count the accumulated number of response terminals based on different terminal identification information.

[0197] In one embodiment, the notification providing module (160) may set a basic notification intensity based on the deterioration acceleration when the danger state received from the state determination module (150) corresponds to a first warning level. For example, if the deterioration acceleration remains in a low range, vibration, screen pop-up, or sending a short message warning to one designated terminal may be performed first, and if the deterioration acceleration increases above a certain threshold, transmission to multiple terminals, increased output repetition frequency, or a state ready to output an external warning sound may be switched. However, the notification providing module (160) may not determine the final notification intensity based solely on the deterioration acceleration, but may also consider the communication attenuation index, the structural visibility obstruction index, the response delay time, the accumulated number of response terminals, and the number of re-launch failures as subsequent determination factors.

[0198] The notification providing module (160) may begin measuring the response delay time after sending the first warning. In one embodiment, if the response delay time exceeds a first reference time, e.g., 10 seconds, and the response signal is not received, or if the accumulated number of response terminals remains below a first reference number, e.g., 0 or 1, the notification providing module (160) may determine that the rescue request has not been sufficiently recognized. At this time, if the communication attenuation index increases above a second reference value, or if the rescue visibility obstruction index is calculated above a third reference value, the notification providing module (160) may interpret that there is a possibility that the initiation of rescue response may be delayed due to the warning transmission only through external terminals, and may increase the notification urgency.

[0199] The notification providing module (160) can adjust the increase in notification intensity according to changes in the accumulated number of response terminals. For example, if the accumulated number of response terminals increases and it is determined that multiple external terminals have already recognized the warning, the notification providing module (160) can reduce the duration of the self-audio output or mitigate the repetition cycle of wide-area broadcast transmission even under the same deterioration acceleration and the same communication attenuation index conditions. Conversely, if the accumulated number of response terminals does not increase or remains in a state of zero for a certain period of time, the notification providing module (160) can control the operation priority of the self-output unit, expand the transmission path, or increase the repetition frequency of light emission and audio output.

[0200] Additionally, the notification providing module (160) can adjust the timing of raising the notification urgency using the number of re-injury failures. For example, even if the response delay time has not yet exceeded the first reference time, if the number of re-injury failures increases to the fourth reference time or higher, and at the same time the deterioration acceleration reaches a high range, the notification providing module (160) may skip at least part of the waiting procedure and raise the notification urgency by one step. Accordingly, the number of re-injury failures can serve as an input signal to the notification providing module (160) indicating that the user's crisis is rapidly intensifying.

[0201] The notification providing module (160) can control the notification output form in stages according to the dynamic notification urgency. In one embodiment, at a relatively low urgency, a preliminary warning may be provided to the user and designated guardian using only the vibration output of the vibration output unit provided in the swimsuit main body unit (110) or the connected smartphone. Additionally, at a medium urgency, a warning message may be repeatedly transmitted to multiple external terminals, the screen display or vibration intensity may be increased, and the flashing of the light output unit may be performed in parallel. Additionally, at a high urgency, the light output unit and the sound output unit provided in the swimsuit main body unit (110) may be simultaneously activated, and the warning message may be repeatedly transmitted to multiple external terminals, management terminals, rescue personnel terminals, or a central management system through the communication unit (130). In this case, the notification providing module (160) may transmit information including the current danger level, the response delay time, the communication attenuation index, and the number of re-floating failures.

[0202] The notification providing module (160) may perform a separate exception handling procedure to reduce malfunctions in exceptional situations. For example, in an indoor swimming pool, water park, or a control area where proximity management facilities are installed, the communication attenuation index may be calculated to be high due to temporary communication shadows, radio congestion, or interference between multiple terminals. Accordingly, the notification providing module (160) may prioritize determining whether the current location is an indoor management area. Whether it is an indoor management area may be determined based on at least one of a proximity beacon, facility wireless network identification information, management area identification code, or identification information of a location reference device within the swimming pool. If it is classified as an indoor management area, the notification providing module (160) may prioritize concentrated transmission to an internal facility receiver or management terminal and control the increase in its own speaker output to limit the increase, rather than immediately switching to a maximum volume output mode even if the response delay time exceeds a first reference time. Conversely, in cases where it is classified as an open water area or an outdoor area lacking management infrastructure, the increase in the communication attenuation index and the structural line of sight shielding index can be interpreted as a more unfavorable condition, thereby enabling a faster level up.

[0203] To exemplarily explain the operation of the notification providing module (160), a plurality of simulation scenarios may be set. For example, if the user's biological risk score has increased but the response delay time is short, the number of accumulated response terminals is sufficiently secured, and the structural visibility obstruction index is low, the notification providing module (160) may interpret the situation as one where sufficient structural response is possible with only an intermediate level of external terminal warning. Conversely, in a situation where the deterioration acceleration is high and the number of re-injury failures increases, but the response delay time is long and the number of accumulated response terminals hardly increases, and both the communication attenuation index and the structural visibility obstruction index are calculated to be high, the notification providing module (160) may determine the situation as one with a high probability of isolation and control it to prioritize the performance of self-luminous output, acoustic output, and wide-area warning transmission.

[0204] For example, even if the communication status is temporarily unstable, if the accumulated number of response terminals increases and the facility internal management terminal responds quickly, the notification providing module (160) may interpret this as a state where a rescue request has already been received and delay entry into the maximum output mode. Conversely, if the response delay time continuously increases, the accumulated number of response terminals remains at zero, and the number of re-raising failures and the deterioration acceleration increase simultaneously, the notification providing module (160) may determine this as a state where the possibility of initiating external rescue is low and execute the high-intensity warning procedure earlier.

[0205] The first reference time, first reference count, second reference value, third reference value, and fourth reference count applied to the above process 4 are not limited to fixed absolute values. Each of the above reference values ​​may be primarily set based on communication status reference data, average illuminance or water surface variability data, average response time, and crisis progression patterns per user collected during the initial system activation or environment adaptation period. For example, relative reference values ​​may be set using normal communication round-trip delay time, normal packet loss rate range, average illuminance range by indoor or outdoor environment, and average response time of a guardian or administrator terminal measured during the initial period. Subsequently, the above notification providing module (160) may gradually adjust the above reference values ​​based on accumulated environmental statistical data, communication quality history, response history, and response results for each crisis occurrence scenario, and accordingly, an adaptive reference point reflecting the current underwater environment and operating conditions may be operated.

[0206] As such, unlike a method that repeatedly outputs the same type of warning simply because a biological danger signal has been detected, process 4 according to the present embodiment may have a structure that evaluates multiple derived variables—namely, the deterioration acceleration, the communication attenuation index, the structural visibility obstruction index, the response delay time, the accumulated number of response terminals, and the number of re-injury failures—step by step over time. Accordingly, it can be implemented to select a more situationally appropriate notification output method and transmission method by reflecting both the degree of crisis progression of the user and the possibility of transmitting a rescue request.

[0207] The dynamic notification urgency determination logic performed by the notification providing module (160) may be configured to calculate a variable waiting time by reflecting the communication attenuation index and the structural visibility shielding index together, rather than applying the same response waiting time uniformly in all environments. In one embodiment, the notification providing module (160) may be set based on a basic waiting time, but the variable waiting time may be gradually shortened as the communication attenuation index and the structural visibility shielding index increase. However, in order to account for natural delays or temporary transmission errors of response packets even in very unfavorable environments, the variable waiting time may be set with a lower limit and an upper limit to operate within a range of, for example, at least 2 seconds and up to 10 seconds.

[0208] To verify the validity of the variable waiting time, 10 exemplary scenarios including indoor swimming pools, outdoor swimming pools, beaches, the sea, diving pools, and water park environments can be set. For example, in a clear indoor swimming pool environment, the communication attenuation index and the structural visibility obstruction index are both close to the reference level, so the variable waiting time can be maintained at approximately 10 seconds, and since the actual response packet is returned within approximately 2.5 seconds and the accumulated number of response terminals is secured at least one, the notification providing module (160) can be controlled to a quiet termination or low-intensity notification maintenance state. In a cloudy indoor swimming pool environment, the communication attenuation index rises slightly to approximately 1.1 and the structural visibility obstruction index rises to approximately 1.2, so the variable waiting time can be adjusted to approximately 7.5 seconds, but if the actual response is returned within approximately 3 seconds, it can remain at the facility internal warning or designated terminal warning level without needing to switch to maximum output mode.

[0209] Additionally, on a clear day at an outdoor beach, the communication attenuation index is measured to be about 1.5 and the structural visibility obstruction index to be about 1.1, so the variable waiting time can be adjusted to about 6 seconds, and the actual response is returned within about 4.5 seconds. If the accumulated number of response terminals is one or more, the external terminal warning is maintained, but the self maximum output warning can be deferred. On the other hand, at a nighttime outdoor swimming pool, the structural visibility obstruction index is increased to about 2.5, so the variable waiting time can be shortened to about 3.3 seconds. If the actual response time appears to be about 5 seconds, it exceeds the variable waiting time, so the notification providing module (160) can increase the intensity of the light output and sound output.

[0210] In a rainy marine environment, the communication attenuation index and the structural visibility obstruction index may each increase to approximately 2.0, thereby adjusting the variable waiting time to approximately 2.5 seconds. In this case, if the actual response arrives after approximately 8 seconds or if the accumulated number of response terminals does not increase sufficiently, the notification providing module (160) may determine that the external response delay may lead to a structural response delay and initiate strong sound output and repeated transmission. In a daytime marine environment with high waves, the communication attenuation index is calculated to be approximately 1.8 and the structural visibility obstruction index to be approximately 1.5, thereby adjusting the variable waiting time to approximately 3.7 seconds, and if the actual response is delayed to approximately 6 seconds, a high-intensity notification may be initiated. In a nighttime marine environment with high waves, the variable waiting time may be lowered to approximately 1.3 seconds in calculation, but a lower limit rule is applied so that the actual operating waiting time may be limited to approximately 2 seconds. In this state, if no response is returned and the accumulated number of response terminals remains at 0, the notification providing module (160) can determine that the likelihood of isolation is high and prioritize high-intensity light output, sound output, and wide-area warning transmission.

[0211] Additionally, in a deep diving pool environment, the communication attenuation index is increased to approximately 3.0 and the structural visibility obstruction index is maintained at a relatively low level, so the variable waiting time can be adjusted to approximately 3.3 seconds in calculation. However, if the location is classified as an indoor management area and an internal facility receiver or management terminal is linked, the notification providing module (160) may be made to perform an exception to prioritize concentrated transmission to an internal facility receiver or manager terminal rather than immediately switching to a maximum volume self-alarm. In a crowded water park environment, the communication attenuation index and the structural visibility obstruction index are measured to approximately 1.5 and 1.8, respectively, so the variable waiting time can be adjusted to approximately 3.7 seconds, but entry into the maximum output mode may be delayed if there are nearby management facilities and multiple response terminals. Conversely, in a marine environment with typhoon precursors, the communication attenuation index and the structural visibility shielding index are calculated to be very high, so the variable waiting time may be lowered to less than 1 second in calculation, but the actual operating waiting time may be limited to about 2 seconds according to the lower limit rule, and if no response is returned during this time, the notification providing module (160) may immediately initiate the highest level of emergency alert procedure.

[0212] When comparing these simulation results with the conventional method of issuing a strong alarm after a fixed 10-second wait, this embodiment also enables quiet termination without triggering unnecessary high-intensity alarms in environments where a response is quickly secured, such as an indoor swimming pool on a clear day. However, in environments where the likelihood of a rescue response is low, such as a rainy sea, a night sea with high waves, or open waters with significant communication shadows, the conventional 10-second fixed wait method leaves an unnecessarily long waiting period, whereas this embodiment can accelerate the high-intensity rescue request procedure by adjusting the variable wait time in increments of 2 seconds to several seconds according to the communication attenuation index and the rescue line of sight shielding index. Furthermore, in environments where management infrastructure exists even with high radio congestion, such as indoor management zones, the transmission can be switched to prioritizing internal receivers through the exception rule, thereby enabling more situation-appropriate notification control that reflects environmental characteristics.

[0213] Therefore, the simulation regarding the above process 4 is not merely a simple comparison of response delays, but can be used as a basis to explain how a dynamic notification urgency determination structure, which considers the communication attenuation index, the structural line of sight obstruction index, the response delay time, the cumulative number of response terminals, and the presence of management infrastructure, may show differences in an actual operating environment. However, the specific numerical values ​​corresponding to the variable waiting time are merely one example and may be gradually adjusted according to communication and environmental data collected during the initial environment adaptation period.

[0214] In one embodiment, a user may wear the swimsuit body unit (110) before entering an underwater environment such as a swimming pool, water park, beach, or open water. The swimsuit body unit (110) may be formed such that the sensor unit (120) is positioned correspondingly on at least one of the chest, abdomen, waist area, area adjacent to the armpit, and center of the torso, and the communication unit (130) may be positioned on a side or rear section with relatively little deformation. Accordingly, the sensor unit (120) can collect data regarding the user's heart rate, body temperature, and movement from the beginning of wearing, and the swimsuit body unit (110) can support each sensor to maintain a constant contact state.

[0215] When the user starts an underwater activity, the sensor unit (120) can acquire the user's initial reference data for a certain period of time. For example, the sensor unit (120) can collect data including chest expansion and contraction cycles, upper and lower limb stroke cycles, basic pressure deviation between the chest and abdomen, reference body surface temperature of the torso and limb sections, reference range of peripheral blood flow response, upward displacement pattern during normal underwater swimming, and average response time with an external terminal during an initial stable swimming section or a warm-up section. The communication unit (130) can transmit the data to an external terminal, for example, a smartphone, and the data collection module (140) can form a set of initial reference values ​​that the state judgment module (150) can use for subsequent comparison judgments by sorting and storing them in chronological order.

[0216] While the user performs normal freestyle, breaststroke, backstroke, or butterfly stroke, the sensor unit (120) can continuously acquire heart rate data, body temperature data, movement data, strain signals of the chest and abdomen, distributed pressure data, vertical acceleration data, and peripheral photoplethysmography data. The communication unit (130) can transmit the data to the data collection module (140) at regular intervals or in event units, and the data collection module (140) can arrange the data into analysis windows of 3 seconds, 5 seconds, 10 seconds, 30 seconds, or 1 minute. The state determination module (150) may independently perform processes 1 to 4 based on the data for each window, or may perform them sequentially while referring to each other's results.

[0217] First, the state determination module (150) can determine the abnormal propulsion load state of the user according to Process 1. The state determination module (150) can calculate the phase alignment degree using the degree of temporal alignment between the chest expansion and contraction cycle and the upper and lower limb stroke cycle, and can calculate the garment pressure gradient using the pressure difference acting on the chest section and the abdominal or waist section of the swimsuit body unit (110). In addition, the state determination module (150) can calculate the heart rate variability reduction amount by comparing the heart rate variability stored in the initial reference section with the current heart rate variability, and can calculate the micro-tremor ratio using the high-frequency component of an inertial sensor or an optionally provided bioelectric sensor. The state determination module (150) can interpret the case where the phase alignment degree drops below the reference range and simultaneously the garment pressure gradient exceeds the dynamic limit pressure for each user as a condition for entering a Stage 1 caution state. Subsequently, if the above-mentioned decrease in heart rate variability or the above-mentioned micro-tremor ratio exceeds additional criteria, the state judgment module (150) may determine that the abnormal propulsion state is progressing with an increase in physiological burden and review whether to raise the risk level.

[0218] In parallel with this, the state determination module (150) can determine the risk of body heat loss according to process 2. The state determination module (150) can calculate the temperature deviation between the torso section and the limb section, and calculate the water body exchange rate and the adhesion stability using the change in the adhesion state and the change in the wetting pattern of the swimsuit body unit (110). In addition, it can measure the reheating delay time required for the local body surface temperature to recover after movement is reduced or stopped, and can calculate the peripheral blood flow defense response index using the amplitude change and recovery pattern of the peripheral photoplethysmography signal. The state determination module (150) can classify a case where the water body exchange rate and the temperature deviation both deteriorate while the adhesion stability is lowered below a reference range as a Stage 1 caution state, and subsequently, if the reheating delay time exceeds the variable delay limit time per user or the peripheral blood flow defense response index also deteriorates, it can be interpreted as a state where the risk of body heat loss accumulates. Accordingly, the state determination module (150) can more clearly distinguish whether the user is in a normal low-temperature adaptation state or in a state where the insulation function degradation and recovery delay are actually progressing together.

[0219] The above state judgment module (150) can manage the results of Process 1 and Process 2 individually, as well as interpret them in conjunction with each other. For example, if a user exhibits an abnormal propulsion state close to vertical while simultaneously confirming a decrease in contact stability and an increase in the water exchange rate, the above state judgment module (150) can interpret this as a more unfavorable condition compared to a simple attitude collapse state. Additionally, if the indicators related to body heat loss deteriorate together after the decrease in phase alignment and the increase in clothing pressure gradient appear, the above state judgment module (150) can evaluate the user as being in a state where there is a possibility that the user is progressing beyond a simple swimming technique disorder stage to a direction requiring rescue intervention.

[0220] Subsequently, if the user's condition deteriorates further, the state judgment module (150) can determine the immersion risk threshold according to process 3. The state judgment module (150) can measure the accumulated immersion time during which the upper body reference point remains below the water surface, and can accumulate the number of failed re-ascent attempts if a pattern is confirmed in which the user fails to reach the breathable height and descends again despite an attempt at upward propulsion. Additionally, the breathing desynchronization index can be calculated by comparing the expansion waveforms of the chest and abdomen, and the dynamic buoyancy response index can be calculated based on the buoyancy recovery delay time from the inhalation signal until the actual upward displacement begins, the magnitude of the upward displacement after inhalation, or the ratio of the amount of ascent to the amount of chest expansion. Furthermore, by confirming the oxygen saturation descent rate and the high-frequency muscle spasm energy together, the progression of hypoxia and the pattern of panic or muscle rigidity can be utilized as additional judgment axes.

[0221] The state determination module (150) can activate tracking of the number of failed resurfacing attempts when the accumulated submersion time exceeds the normal diving range for each user, and can classify the number of failed resurfacing attempts as a Level 1 danger state when it exceeds a set range. Subsequently, if an increase in the breathing non-synchronization index, an extension of the buoyancy recovery delay time, and a decrease in the dynamic buoyancy response index are confirmed together, the state determination module (150) can interpret this as a state where the ability to secure breathing above the water surface is reduced and can raise it to a Level 2 emergency state. At this time, if the oxygen saturation descent rate increases rapidly or the high-frequency muscle spasm energy exceeds a reference range, the state determination module (150) can reflect the degree of crisis progression more quickly by reducing the waiting time for raising the level or applying additional weights.

[0222] Meanwhile, the state determination module (150) may perform an exception handling procedure to distinguish between a voluntary underwater swimming, underwater direction change, or purposeful training state and an actual underwater progress state. For example, even if the accumulated submersion time is long, if the horizontal movement speed is maintained at a constant level, the stroke trajectory repeatedly shows a constant pattern, and irregular upward propulsion corresponding to the failure of resurfacing is not detected, the state determination module (150) may interpret this as a voluntary underwater activity and suspend part of the submersion crisis determination procedure. Additionally, if the dynamic buoyancy response index is maintained stably and the breathing non-synchronization index remains in a low range, it may be classified as an observation maintenance state.

[0223] When the state determination module (150) analyzes the user's state through processes 1 to 3, the notification providing module (160) can dynamically determine the notification urgency and control the output form according to process 4. The notification providing module (160) can calculate the deterioration acceleration based on the rate of change of the integrated risk score transmitted from the state determination module (150), and can calculate the communication attenuation index by checking the packet loss rate, wireless signal strength degradation rate, retransmission rate, and the round-trip delay time of the response packet through the communication unit (130). In addition, the structural visibility obstruction index can be calculated using an illuminance detection unit, a wave detection unit, or an environment detection unit equipped in the swimsuit main body unit (110) or the linkage device. Furthermore, the notification providing module (160) can track how many times the structural request has been recognized externally by measuring the response delay time until the response signal returns after the first warning is sent and the cumulative number of response terminals.

[0224] For example, when the state determination module (150) determines a level 1 caution state or a level 1 danger state, the notification providing module (160) can set a basic notification intensity based on the deterioration acceleration. At this time, if the response delay time is short, the number of accumulated response terminals is secured above a certain level, and the communication attenuation index and the structural visibility obstruction index are low, the notification providing module (160) can maintain a notification at the level of vibration, screen pop-up, or preliminary warning for a designated terminal. On the other hand, if the response delay time is long and the number of accumulated response terminals does not increase, and at the same time the communication attenuation index and the structural visibility obstruction index increase together, the notification providing module (160) interprets that there is a possibility that the initiation of the structure may be delayed due to external response alone, and can increase the operation priority of the light output unit, sound output unit, and wide-area transmission function.

[0225] The notification providing module (160) receives the number of re-floating failures from Process 3 and can adjust the timing of the notification increase according to the actual severity of the user's crisis even under the same environmental conditions. For example, even if the response delay time has not yet completely exceeded the standard waiting time, if the number of re-floating failures increases repeatedly and the acceleration of deterioration reaches a high level, the notification providing module (160) can skip part of the waiting procedure and switch to a higher level of notification urgency. Accordingly, Process 4 can adjust the output strategy by reflecting the flood crisis progress information of Process 3 together, rather than simply looking at whether there is an external response.

[0226] Additionally, the notification providing module (160) may perform different exception handling procedures depending on the environment. For example, in a control area where nearby management facilities exist, such as an indoor swimming pool or water park, the communication attenuation index may be measured as high due to radio congestion or temporary communication shadows. In this case, the notification providing module (160) can determine whether the current location is an indoor management area by using a nearby beacon, facility wireless network identification information, management area identification code, or location reference device identification information. If it is classified as an indoor management area, rather than immediately switching to maximum volume output even if the response delay time increases slightly, it may prioritize concentrated transmission to an internal facility receiver or management terminal and mitigate the amplification speed of the self-audio output. Conversely, in an environment lacking management infrastructure, such as an open body of water, the communication attenuation index and the structural visibility obstruction index may be interpreted as more unfavorable conditions, allowing for faster increase in the level of self-illumination and audio output.

[0227] In this overall flow, the above components and processes 1 through 4 do not exist merely as separate functional blocks, but can be linked as a single safety management system that operates continuously over time. That is, the swimsuit body unit (110) supports the placement and protection of each sensor, the sensor unit (120) acquires biological and movement data, the communication unit (130) transmits the data to an external terminal, the data collection module (140) sorts and stores the data, the state determination module (150) interprets the user's state step by step through processes 1 through 3, and the notification provision module (160) can perform a warning procedure reflecting the environment and response situation through process 4. Accordingly, this embodiment can be understood as an example of system implementation in which the normal swimming state, abnormal propulsion state, body heat loss accumulation state, flood crisis progression state, and rescue request stage are connected as a single continuous flow.

[0228] For example, it can be assumed that during the initial 3-minute stable free-form phase, the average value of the phase match is set to approximately 0.88, the average value of the garment pressure gradient to approximately 0.6 kPa, the average value of the closeness stability to approximately 92%, the average value of the water exchange rate to approximately 15 ml / min, and the average value of the reheat delay time to approximately 2 minutes and 20 seconds. Subsequently, when the same user enters a phase where they repeatedly attempt exposure above the water surface in a near-vertical position while in a state of accumulated fatigue, the phase match drops to approximately 0.42 and the garment pressure gradient rises to approximately 3.4 kPa, thereby establishing a Stage 1 cautionary state according to Process 1. In the same phase, if the closeness stability drops to approximately 74%, the water exchange rate increases to approximately 38 ml / min, and the temperature deviation expands to approximately 1.2 degrees, a Stage 1 cautionary state related to body heat loss may be established in parallel according to Process 2. Subsequently, if the number of re-rising failures accumulates to 3 or more times, the respiratory non-synchronization index deviates from the reference range, and the response delay time exceeds the set waiting time, the state judgment module (150) may determine the flooding crisis state upward, and the notification provision module (160) may control the output priority of the light-emitting unit or sound unit to be increased along with an external terminal warning.

[0229] Finally, the reference values ​​used in each of the above processes, for example, the phase alignment reference value, the garment pressure gradient related reference value, the reheating delay time related reference value, the number of re-floating failures reference value, the response delay time reference value, and the communication attenuation index related reference value, are not limited to fixed absolute values. These values ​​may be initially set based on reference data collected during the initial stability phase, normal swimming phase, or environment adaptation phase when the user wears the device, and may be gradually adjusted based on accumulated swimming history, water temperature changes, swimming stroke type, proficiency, wave environment, communication quality history, and response history. Accordingly, the entire system may be implemented as an adaptive safety monitoring structure that reflects both user-specific characteristics and changes in the underwater environment.

[0230] Although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above. Various modifications are possible by those skilled in the art without departing from the essence of the invention as claimed in the claims, and such modifications should not be understood individually from the technical spirit or perspective of the present invention. Explanation of the symbols

[0231] Swimsuit main body unit (110) sensor unit (120) Communication unit (130) Data collection module (140) State determination module (150) Notification providing module (160)

Claims

Claim 1 A swimsuit capable of monitoring health status comprises: a swimsuit main body unit worn on a user's body and having a sensor unit and a communication unit disposed therein; a sensor unit provided in the swimsuit main body unit for acquiring health data including the user's heart rate data, body temperature data, and movement data; a communication unit for transmitting the health data generated from the sensor unit to an external terminal; and an external terminal for receiving the health data from the communication unit; wherein the swimsuit further comprises a light-emitting unit or an acoustic unit provided in the swimsuit main body unit, and the external terminal comprises: a data collection module implemented within the external terminal for receiving, sorting, and storing the health data; and a status determination module for analyzing the health data stored in the data collection module to determine whether abnormal signs of the user have occurred. The system includes a notification providing module implemented within the external terminal based on the determination result of the state determination module, which generates a visual, auditory, or tactile notification through a screen display, sound output, or vibration output of the external terminal; the state determination module generates a plurality of derived information regarding heart rate, body temperature, and movement by comparing a current measurement value with a history value from a previous fixed time interval, and classifies the user's state into one of a normal state, a Level 1 caution state, and a Level 2 danger state based on the plurality of derived information; the notification providing module applies different notification methods or notification intensities according to the classified state; the swimsuit body unit is formed to adhere closely to the user's body by including an elastic material; the swimsuit body unit provides a support structure such that the sensor unit is positioned in a corresponding location on at least one of the chest, abdomen, back, waist, shoulder, or armpit adjacent area; and the swimsuit body unit provides a fixing area to maintain contact between the sensor unit and the skin or the inner surface of the swimsuit.The above swimsuit main body unit includes a waterproof receiving space or a separate storage compartment to reduce direct exposure of the communication unit to external shock or moisture, and accordingly, the sensor unit supports the corresponding placement of a sensor for heart rate measurement on the inner side of the chest, a sensor for body temperature measurement on the area adjacent to the armpit or on the inner side of the back, and a sensor for movement measurement on the waist or the center of the torso, respectively. The sensor unit measures at least two items among heart rate, body temperature, movement, chest expansion and contraction, pressure in the chest region and the abdominal or waist region, and changes in the surface reference position of at least one of the upper body reference point and the respiration judgment reference point according to a fixed period or at the time of event occurrence, adds measurement time information to each of the measurement values, generates multiple types of data acquired at the same time or adjacent time points in the form of an interlinkable data bundle, and in the event that temporary contact changes or signal fluctuations occur due to underwater movement, excludes values ​​outside the set range among multiple continuously acquired measurements or generates corrected data by comparing with adjacent measurements, and the communication unit adds data type, measurement sequence number, and wearer to the data bundle. At least one of identification information and transmission order identification information is added and transmitted to the external terminal, and the data collection module rearranges the data bundle based on the measurement time and stores it separately as heart rate data, body temperature data, movement data, and derived data generated therefrom, combines data from the same point in time or adjacent points in time into a single analysis unit and provides it to the state determination module, and in order to determine the abnormal propulsion state of the user, the state determination module includes a phase alignment degree indicating the degree of temporal alignment between the chest expansion and contraction cycle and the upper and lower limb stroke cycle, and a garment pressure gradient indicating the pressure difference measured between the chest section and the abdominal or waist section of the swimsuit main body unit.Calculate the amount of heart rate variability reduction, which indicates the degree of reduction of the current heart rate variability relative to the heart rate variability measured during the initial stable phase of wearing, and the micro-tremor ratio, which indicates the proportion of a preset high-frequency band component among the signals of an inertial sensor or bioelectric sensor; activate the garment pressure gradient judgment procedure only when the phase alignment drops below the phase reference value; if the state in which the garment pressure gradient exceeds the dynamic limit pressure calculated based on the user's initial baseline pressure deviation and the upper and lower depth deviation between the chest section and the abdominal or waist section is maintained for a preset duration or longer, classify the user into the Stage 1 Caution State; if, after the Stage 1 Caution State is established, the amount of heart rate variability reduction exceeds the heart rate variability reduction reference value or the micro-tremor ratio exceeds the micro-tremor reference value, classify the user into the Stage 2 Danger State; and if the accumulated immersion time during which at least one of the upper body reference point and the respiration judgment reference point is maintained below the water surface exceeds the immersion reference time, the state judgment module activates the re-ascent failure tracking and subsequent judgment procedure. A swimsuit capable of monitoring health status, characterized by determining the user's flood risk state when the number of failed re-floating attempts exceeds the re-floating threshold, and the notification providing module providing an external terminal warning after the flood risk state is determined, and, when the response delay time exceeds the response threshold time or the accumulated number of responding terminals falls short of the response threshold, increasing the output priority of the light-emitting unit or the sound unit along with the external terminal warning to control at least one of the output intensity, output type, or repetition cycle upward. Claim 2 A swimsuit capable of monitoring health status, wherein, in claim 1, the state determination module stores the average pressure difference between the chest section and the abdomen or waist section in an initial stable swimming section as the initial basic pressure deviation, and subsequently calculates the relative depth deviation between the chest section and the abdomen or waist section based on the torso posture or upper / lower position difference at the current point in time, calculates an additional pressure component according to a change in posture by reflecting a pressure increase component corresponding to water density and gravitational acceleration in the relative depth deviation, and calculates the dynamic limit pressure by adding the additional pressure component to the initial basic pressure deviation. Claim 3 A swimsuit capable of health status monitoring, wherein, in claim 1, the notification providing module suspends the upward adjustment of the output priority of the light-emitting unit or the sound unit or maintains the external terminal warning when the response delay time is less than or equal to the response reference time and the accumulated number of response terminals is greater than or equal to the response reference number. Claim 4 delete Claim 5 delete Claim 6 delete

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