Intelligent accompanying health bracelet

Abstract

The invention provides an intelligent accompanying health bracelet, and belongs to the technical field of intelligent bracelets, the intelligent accompanying health bracelet comprises a bracelet main body, one side of the bracelet main body is provided with a function key and a power key, the upper surface of the bracelet main body is provided with an OLED flexible display screen, a built-in circuit board integrated health monitoring sensor group, an eSIM cellular communication module and a positioning module, the health monitoring sensor group is used for collecting health data of a user, the eSIM cellular communication module supports the user to carry out independent conversation or networking, and the positioning module obtains real-time position information of the user; a health monitoring system is arranged in the bracelet body, runs on the central processing module, comprises a data processing unit and is used for analyzing original data of the health monitoring sensor group and generating health indexes of the user, and the problem that an existing intelligent bracelet cannot carry out emergency processing on emergencies of the old people is solved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of smart bracelets, and in particular relates to a smart accompanying health bracelet. BACKGROUND

[0002] With the increasing number of the elderly population, the demand for comprehensive products for real-time health monitoring, early warning, alarm and monitoring of the elderly is growing, especially in the group of elderly people living alone and empty-nest elderly people, this demand is more urgent, and the elderly people cannot send notifications to their families in time when they encounter special situations at home or outside, and their families cannot obtain the specific location and life indicators of the elderly, and cannot provide timely help.

[0003] The smart bracelet has deficiencies in monitoring and handling the health and sudden conditions of the elderly, especially the disabled and the elderly with dementia, when the smart bracelet fails to provide accurate reminders, early warnings and help in the event of a sudden situation of the elderly, and the elderly wearing the product cannot perform corresponding emergency operations when a sudden situation occurs. SUMMARY

[0004] The present application provides a smart accompanying health bracelet, which solves the problem that the existing smart bracelet cannot handle emergencies when the elderly encounter sudden situations.

[0005] In view of the above problems, the technical scheme provided by the present application is:

[0006] The present application provides a smart accompanying health bracelet, which includes a bracelet main body, a function key and a power key are arranged on one side of the bracelet main body, an OLED flexible display screen is arranged on the upper surface of the bracelet main body, a health monitoring sensor group, an eSIM cellular communication module and a positioning module are integrated in the built-in circuit board, the health monitoring sensor group is used to collect health data of the user, the eSIM cellular communication module supports independent calling or networking of the user, and the positioning module obtains real-time location information of the user.

[0007] The bracelet main body is built-in with a health monitoring system, which runs on a central processing module and includes a data processing unit, which is used to analyze original data of the health monitoring sensor group and generate health indicators of the user.

[0008] The health monitoring system further includes a health management center responsible for storing health indicator data and performing early warning according to the health indicator data.

[0009] The data collected by the health monitoring sensor group, the eSIM cellular communication module and the positioning module is transmitted to the central processing module through the circuit board.

[0010] As a preferred technical solution of the present application, the bracelet body is made of thermoplastic polyurethane material, the inner layer of the bracelet body is provided with corrugated convex strips / arc convex blocks, and the inner part of the bracelet body is further provided with a flexible special-shaped battery and a wireless charging receiving coil.

[0011] As a preferred technical solution of the present application, the health monitoring sensor group includes an accelerometer, an optical heart rate sensor, a gyroscope, a vibration motor and a reflective blood oxygen sensor, the accelerometer is pasted on the circuit board using electronic adhesive, the optical heart rate sensor and the reflective blood oxygen sensor are embedded on the inner bottom of the bracelet body close to the skin contact position, the lens part and the photosensitive part are flush with the inner side of the bracelet body, the gyroscope is fixed through the solder pad on the circuit board, and the vibration motor is fixed on the circuit board through screws.

[0012] As a preferred technical solution of the present application, the eSIM cellular communication module includes a fisheye camera, a double ordinary camera, a pickup microphone and a double loudspeaker, the fisheye camera is arranged on the outer side of the bracelet body, the double ordinary cameras are symmetrically arranged on the two sides of the bracelet body, the pickup microphone has two, arranged on the two sides of the bracelet body, and the double loudspeakers are embedded on the two sides of the bracelet body.

[0013] As a preferred technical solution of the present application, the eSIM cellular communication module further includes an eSIM chip, a Bluetooth 5.2 and a Wi-Fi 6 three-in-one chip, which shares an antenna, uses an RF switch supporting high frequency band switching to switch the radio frequency signal, and is packaged on the back of the circuit board.

[0014] As a preferred technical solution of the present application, the central processing module includes a main control chip and a memory, the main control chip is an STM32H743VIT6 chip, and the memory is used to store the collected data.

[0015] As a preferred technical solution of the present application, the data processing unit uses multi-source data fusion technology to fuse the data based on the data received by the central processing module, obtains a comprehensive feature vector, calculates the vital sign indexes of heart rate, blood oxygen and respiratory rate based on the fusion data and the result of data fusion, analyzes the sleep state of the user through sleep analysis combined with the comprehensive feature vector and the vital sign calculation result, and fuses the results of vital sign calculation and sleep analysis and the personal information of the user to calculate a health trend index of 0-100 points and comprehensively evaluate the overall health status of the user.

[0016] As a preferred technical scheme of the present application, the health management center comprises a hierarchical early warning module, which divides the health condition of the user into normal state, first-level early warning, second-level early warning and third-level early warning based on the health trend index.

[0017] Among them, the health trend index of the normal state is 70-100 points, indicating that the physiological indicators are stable, and the heart rate, blood oxygen and respiratory rate vital signs are normal.

[0018] The health trend index of the first-level early warning is 50-69 points, indicating that a single or a small number of physiological indicators are slightly abnormal.

[0019] The health trend index of the second-level early warning is 30-49 points, indicating that a plurality of physiological indicators are moderately abnormal.

[0020] The third-level early warning is the health trend index of 10-29 points, indicating that a plurality of physiological indicators are severely abnormal.

[0021] As a preferred technical scheme of the present application, the health monitoring system further comprises a positioning service unit for processing the data of the positioning module and outputting the position information.

[0022] Compared with the prior art, the present application has the following advantages:

[0023] The present application accurately calculates the heart rate, blood oxygen, respiratory rate and other vital signs indicators through multi-source data fusion and algorithm, and performs sleep analysis and health trend evaluation, providing comprehensive health monitoring. Through the bracelet, the emergency mechanism can be quickly started in an emergency, the on-site situation is automatically recorded, and the eSIM cellular communication module is used to urgently contact the preset contact person and the health management center, greatly shortening the rescue response time, and providing more reliable safety protection for special groups such as the elderly.

[0024] The above description is only a summary of the technical scheme of the present application. In order to more clearly understand the technical means of the present application, the content of the specification can be implemented, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described below. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 is a structure diagram of an intelligent accompanying health bracelet disclosed by the present application;

[0026] Figure 2 is a local internal structure diagram of an intelligent accompanying health bracelet disclosed by the present application;

[0027] Figure 3 is a structure diagram of the bottom surface of an intelligent accompanying health bracelet disclosed by the present application;

[0028] Figure 4 is a health monitoring system block diagram of an intelligent accompanying health bracelet disclosed by the application;

[0029] Legend: 1, bracelet main body; 11, OLED flexible display screen; 12, circuit board; 13, flexible special-shaped battery; 14, accelerometer; 15, optical heart rate sensor; 16, gyroscope; 17, vibration motor; 18, reflective blood oxygen sensor; 19, wireless charging receiving coil;

[0030] 2, eSIM cellular communication module; 21, fisheye camera; 22, double ordinary camera; 23, pickup microphone; 24, double loudspeaker;

[0031] 3, central processing module; 31, main control chip; 32, memory; 4, positioning module; 5, data processing unit; 6, communication control unit; 7, positioning service unit; 8, health management center; 81, hierarchical early warning module;

[0032] 7, function key; 8, power key. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0034] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0035] It should be noted that: similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0036] In the description of the present application, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0037] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features referred to. Therefore, the features defined with "first", "second" can include one or more of the features explicitly or implicitly. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0038] Embodiment one

[0039] Referring to the drawings Figures 1-4 The present application provides a technical solution: an intelligent accompanying health bracelet, comprising a bracelet body 1, one side of which is provided with a function key 7 and a power key 8, the upper surface of the bracelet body 1 is provided with an OLED flexible display screen 11, the OLED flexible display screen 11 is directly attached to the front of the circuit board 12, the built-in circuit board 12 integrates a health monitoring sensor group, an eSIM cellular communication module 2 and a positioning module 4, the circuit board 12 is made of flexible material and can be bent and folded to adapt to the complex space structure inside the bracelet, the health monitoring sensor group is used to collect the health data of the user, the eSIM cellular communication module 2 supports the user to make independent calls or networking, and the positioning module 4 obtains the real-time position information of the user;

[0040] The bracelet body 1 is built-in with a health monitoring system running on a central processing module 3, which contains a data processing unit 5 for analyzing the raw data collected by the health monitoring sensor group to generate the health indicators of the user, providing data support for subsequent health assessment and early warning;

[0041] The health management center 8 is responsible for storing health indicator data, early warning according to health indicator data, and health center platform jointly established by insurance, family and old-age care institutions. The real-time data of the wearer, positioning information and the like are authorized to the third party, and after authorization, the data of the intelligent accompanying health bracelet (bracelet) is connected, the health indicators of the user are monitored in real time, and the data is synchronized to the family, so that the family can know the health status of the user at any time;

[0042] The data collected by the health monitoring sensor group, the eSIM cellular communication module 2 and the positioning module 4 are transmitted to the central processing module 3 through the circuit board 12, and the data received by the central processing module 3 is transmitted to the health management center 8 through an AES-256 encrypted channel.

[0043] The embodiment of the present application is also realized by the following technical solutions.

[0044] In the embodiment of the present application, the bracelet body 1 is made of thermoplastic polyurethane material, so that the bracelet body 1 has a certain elasticity and can better adapt to the user's wrist. The inner layer of the bracelet body 1 is provided with corrugated protruding strips / arc-shaped protruding blocks to enhance the friction with the skin, especially for the sweating scene. The inner part of the bracelet body 1 is also provided with a flexible special-shaped battery 13 and a wireless charging receiving coil. The flexible special-shaped battery 13 is used to supply power to various modules and parts. The shape of the flexible special-shaped battery 13 is adapted to the bracelet body 1. The wireless charging receiving coil is used to cooperate with the charging seat with a wireless charging transmitting coil to charge the battery.

[0045] In the embodiment of the present application, the health monitoring sensor group includes an accelerometer 14, an optical heart rate sensor 15, a gyroscope 16, a vibration motor 17 and a reflective blood oxygen sensor. The accelerometer 14 is pasted on the circuit board 12 using electronic glue. The optical heart rate sensor 15 and the reflective blood oxygen sensor are embedded on the inner bottom of the bracelet body 1 close to the skin contact position. The lens part and the photosensitive part are flush with the inner side of the bracelet body 1 to maintain good contact with the wearer's skin, accurately monitor the heart rate signal, accurately reflect and receive light, and measure blood oxygen saturation and other data. The gyroscope 16 is fixed on the solder pad on the circuit board 12 and electrically connected with other elements on the circuit board 12, effectively reducing the shaking of the gyroscope 16 during use and ensuring the stability of the measurement. The vibration motor 17 is fixed on the circuit board 12 by screws, so that it can stably produce vibration feedback when working and will not loosen or shift due to the movement of the bracelet body 1.

[0046] In the embodiment of the present application, the eSIM cellular communication module 2 includes a fisheye camera 21, a double ordinary camera 22, a pickup microphone 23 and a double loudspeaker 24. The fisheye camera 21 is placed on the outer side of the bracelet body 1 to cooperate with the double ordinary camera 22 to realize multi-angle shooting of the user's face. The double ordinary camera 22 is symmetrically arranged on both sides of the bracelet body 1 and is respectively used to collect expression images and record external environmental scenes. The pickup microphone 23 is arranged on both sides of the bracelet body 1. The double loudspeaker 24 is embedded on both sides of the bracelet body 1.

[0047] In the embodiment of the present application, the eSIM cellular communication module 2 also includes an eSIM chip, a Bluetooth 5.2 and a Wi-Fi 6 three-in-one chip such as the Ai-WS1 series module developed by Anxinke Technology, which shares an antenna and uses an RF switch supporting high frequency band switching to switch the radio frequency signal, and is packaged on the back of the circuit board 12.

[0048] It should be noted that the key interfaces of the bracelet body 1, such as the charging port, the key, and the sensor area, are sealed to prevent water from seeping in.

[0049] In the embodiment of the present application, the central processing module 3 includes a main control chip 31 and a memory 32. The main control chip 31 is an STM32H743VIT6 chip, which is used to control the operation of the bracelet body 1. The memory 32 is used to store the collected data, including the data collected by the health monitoring sensor group and the positioning module 4.

[0050] In the embodiment of the present application, the data processing unit 5 uses multi-source data fusion technology to fuse the data received by the central processing module 3, obtains a comprehensive feature vector, and performs vital sign calculation, sleep analysis and health trend evaluation based on the fused data to obtain the real-time health status of the user. The vital sign calculation uses the result of data fusion to calculate the vital sign indexes of heart rate, blood oxygen and respiratory rate. The sleep analysis combines the comprehensive feature vector and the vital sign calculation result to analyze the sleep state of the user, including sleep judgment, sleep staging and apnea detection. The health trend evaluation fuses the results of vital sign calculation and sleep analysis with the personal information of the user (such as age, gender, BMI, etc.) to calculate a health trend index of 0-100 points, and comprehensively evaluates the overall health status of the user.

[0051] Among them, the data received by the central processing module 3 includes image information captured by the camera of the external environment or the surface of the human body, the linear acceleration of the bracelet in three-dimensional space measured by the accelerometer 14, the rotational angular velocity perceived by the gyroscope 16, the light absorption change caused by the blood flow detected by the optical heart rate sensor 15 according to the principle of photoplethysmography to obtain heart rate related signals (PPG signals), and the difference in absorption of specific wavelength light by oxyhemoglobin and reduced hemoglobin in blood to reflect blood oxygen saturation. These sensors collect data in real time and transmit them to the data processing unit 5 of the bracelet.

[0052] To more accurately reflect the user's health status and lay the foundation for subsequent processing such as vital sign calculation, the bracelet adopts multi-source data fusion technology. It collects raw data from accelerometer 14, gyroscope 16, optical sensors, etc., ensuring that all data are synchronized according to timestamps, providing consistency in the time dimension for subsequent fusion processing. The collected data undergoes preliminary processing, including filtering to remove noise and normalization to make the data uniform in scale. Key features are extracted from the raw data, such as acceleration and angular velocity features from accelerometer 14 and gyroscope 16 data, and heart rate and blood oxygen features from optical sensor data. These features are then simply concatenated to form a comprehensive feature vector, providing a more comprehensive data foundation for subsequent steps such as vital sign calculation.

[0053] Based on the comprehensive feature vector obtained by the above fusion, the bracelet performs accurate calculations of vital signs. For example, heart rate calculation is based on the PPG signal obtained by the optical heart rate sensor 15, and the peak detection algorithm is used to accurately identify the peak heart rate. At the same time, the motion data provided by the accelerometer 14 and the gyroscope 16 are combined to perform motion compensation on the heart rate signal to ensure the accuracy of heart rate calculation in motion scenarios. Blood oxygen calculation adopts the multi-wavelength PPG ratio method, and uses the absorption data of different wavelengths of light collected by the reflective blood oxygen sensor to calculate blood oxygen saturation. Respiratory rate calculation extracts micro-motion features from the data of the accelerometer 14 and the respiratory frequency of the PPG signal of the optical sensor. The two parts of information are fused to obtain an accurate respiratory rate.

[0054] Among them, the micro-motion feature extraction in the accelerometer 14 data removes high-frequency noise and low-frequency drift by filtering, retains the signal components within the breathing frequency range, usually between 0.1-0.5Hz, and then uses short-time Fourier transform to decompose the acceleration signal into different frequency components, calculates the energy of each frequency component, and identifies the frequency with the highest energy as the initial estimate of the breathing frequency.

[0055] The respiratory frequency of the PPG signal is obtained by filtering the PPG signal to remove noise, retaining the signal components within the respiratory frequency range, extracting the envelope of the PPG signal, i.e. the amplitude change trend of the signal, smoothing and normalizing the envelope to reduce the amplitude change interference caused by motion or other factors, calculating the autocorrelation function of the corrected envelope signal, determining the time delay corresponding to the respiratory cycle, and thus obtaining the respiratory frequency based on the PPG signal.

[0056] The respiratory rate was calculated by extracting respiratory frequency features from the accelerometer 14 signal and respiratory frequency from the PPG signal, and then using a weighted average method. The calculation formula is as follows:

[0057]

[0058] Where α is the accelerometer 14 weighting coefficient and β is the PPG signal weighting coefficient;

[0059] In addition to daily vital sign monitoring, the bracelet also has a professional sleep analysis function. The sleep analysis determines whether the user has fallen asleep by continuously monitoring the acceleration data of the accelerometer 14 and calculating the composite acceleration. When the composite acceleration is lower than 0.01g for more than 5 minutes, combined with heart rate data (heart rate decreases and tends to stabilize), it is determined that the user has entered a sleep state. The sleep apnea detection is performed by monitoring blood oxygen saturation data in real time. If blood oxygen saturation drops continuously by ≥4% for 10 seconds, it is determined that a sleep apnea event has occurred. At the same time, the bracelet's motion status during the sleep apnea event is analyzed by combining the data from the accelerometer 14 and the gyroscope 16 to help confirm the sleep apnea event.

[0060] The calculation steps for the composite acceleration are as follows: Accelerometer 14 can provide acceleration values ​​along three axes (x, y, and z). These data reflect the wrist movements of the user wearing the bracelet. During each data acquisition session, the magnitude of the composite acceleration is calculated based on the acceleration values ​​along the three axes provided by accelerometer 14. The calculation formula is as follows:

[0061]

[0062] Among them, a x a y a y These are the acceleration values ​​along the x, y, and z axes, respectively. By calculating the composite acceleration, the three-dimensional acceleration data can be simplified into a scalar value representing the overall motion intensity. A rest acceleration threshold is set, such as 0.01g (g is the acceleration due to gravity). When the composite acceleration is consistently below this threshold, the wrist is considered to be in a static state. At the same time, a time threshold is set, such as 5 minutes, to determine the duration of the static state. This is adjusted and optimized according to the actual application scenario and user group. To determine the static state, the composite acceleration is monitored in real time to determine whether it is consistently below the rest acceleration threshold. If the composite acceleration is below the threshold, a timer is started. If the composite acceleration exceeds the threshold again during the timer, the timer restarts. To determine the sleep state, when the composite acceleration is consistently below the rest acceleration threshold (0.01g) for a period of time that reaches or exceeds the set duration threshold (5 minutes), combined with other physiological data such as heart rate (heart rate drops to the resting heart rate range and the fluctuation amplitude decreases), it is determined that the user has entered a sleep state, and the sleep time is recorded.

[0063] Combining the results of multi-source data fusion, vital sign calculation, and sleep analysis, the bracelet further conducts health trend assessment. By fusing the various feature data in the comprehensive feature vector obtained during the multi-source data fusion process, along with the results of vital sign calculation and sleep analysis, and integrating user profile data such as age, gender, BMI (body mass index), past medical history, and lifestyle (smoking, drinking, exercise habits, etc.), features that have a significant impact on health trends are identified, such as heart rate variability, daytime activity level, and blood oxygen level stability. A weighted scoring method is used to assign weights to each selected feature, and the index values ​​are converted into scores to finally calculate a health trend index of 0-100.

[0064] The calculation process of the health trend index is as follows: First, determine the weight of each feature, then perform Min-Max standardization on the feature data instead of the weight data, convert it into a score, multiply it by the corresponding weight and sum it to obtain the health trend index;

[0065] Weights are assigned based on feature importance, with the sum of the weights being 1. The feature data is then standardized using Min-Max to ensure they fall within a uniform scale range (e.g., 0-100 points). The formula is as follows:

[0066]

[0067] Where X is one of the feature values ​​in the original data, X min X represents the minimum value of this feature in the dataset. max X represents the maximum value of this feature in the dataset, reflecting the upper limit of this feature. new The standardized feature value maps the original data to the interval [0,1]. This value reflects the relative position of the original data within the feature dataset. The standardized feature data is the corresponding score.

[0068] For example, the weight of the heart rate variability index is 0.25, the original value range is [50, 150], and the user's index value is 100. After standardization using equation (3):

[0069]

[0070] After converting 0.25 * 100% = 25 points, the standardized feature data is transformed into a score that is easy to understand and use, that is, the feature score is 25 points;

[0071] The health trend index is obtained by multiplying the feature scores by their weights and then summing the results. The formula is:

[0072] Health Trend Index = ∑(Feature Score * Weight) Equation (4)

[0073] If other characteristics and weights are as follows: Daytime activity weight 0.2, original range [2000, 10000] steps, the user walked 6000 steps, and the score using formula (3) is 50 points; Blood oxygen level stability weight 0.15, original range [85%, 98%], the user's is 92%, and the score using formula (3) is 53.85 points; Sleep quality index weight 0.2, original range [0, 10] hours, the user slept for 7 hours, and the score using formula (3) is... The score is 70 points, the frequency weight of the sleep apnea event is 0.1, the original range is [0,10] times, the user experienced 2 times, the score using formula (3) is 20 points, the health trend index is calculated using formula (4) = 0.25×25+0.2×50+0.15×53.85+0.2×70+0.1×20=6.25+10+8.0775+14+2=40.3275, the final health trend index is about 40.33 points.

[0074] In an embodiment of the present invention, based on the health trend index derived from the health trend assessment, the health management center 8 built into the wristband includes a graded early warning module 81, which can finely divide the user's health status into normal state, first-level warning, second-level warning and third-level warning according to the index, providing the user with a more intuitive health status prompt.

[0075] Among them, the health trend index of normal state is 70-100 points, which indicates that various physiological indicators are stable, vital signs such as heart rate, blood oxygen, and respiratory rate are normal, and there are no abnormalities such as apnea.

[0076] The health trend index for Level 1 warning is 50-69 points, indicating that one or a few physiological indicators are slightly abnormal, such as occasional fast or slow heart rate, slight fluctuations in blood oxygen, slight increase or decrease in respiratory rate, and shortened sleep time. The vibration motor 17 emits a gentle vibration to remind the user to pay attention to their own health status, activates the microphone and dual speakers 24 to remind the user to take timely measures or seek medical treatment, and uploads the data to the health management center 8 for real-time monitoring.

[0077] A Level 2 warning health trend index of 30-49 indicates moderate abnormalities in multiple physiological indicators, such as a persistently fast or slow heart rate, significant fluctuations in blood oxygen, a significantly increased or decreased respiratory rate, a significant reduction in sleep time, or the occurrence of mild sleep apnea events. The vibration motor 17 emits a more noticeable vibration to prompt the user to conduct a detailed health check. At the same time, the real-time location collected by the positioning module 4 is sent to a contact person with a preset number, and transmitted to the health management center 8 to suggest specific examinations, such as going to a hospital or professional medical examination institution for cardiopulmonary function tests, sleep monitoring, etc.

[0078] Level 3 warning is a health trend index of 10-29 points, indicating that multiple physiological indicators are seriously abnormal, such as significantly abnormal heart rate accompanied by arrhythmia, continuous decrease in blood oxygen, severely abnormal respiratory rate, and serious abnormalities such as respiratory arrest. The vibration motor 17 emits strong vibrations, directly calls the contact of the preset number through the eSIM cellular communication module 2, and plays a voice distress call. At the same time, the camera, microphone, and dual speakers 24 are turned on, and the location information of the positioning module 4 is uploaded to the health management center 8.

[0079] In embodiments of the present invention, in emergency situations, in addition to timely health warnings, accurate location information is also crucial. Therefore, the wristband is equipped with a positioning service unit 7, which processes the data from the positioning module 4 and outputs location information. The location information of the positioning module 4 includes BeiDou positioning information and GPS positioning information. The receiver in the positioning module 4 receives BeiDou and GPS satellite signals, and after preliminary processing by the radio frequency front end, captures the signals. The relevant channels track the satellite signals to obtain positioning data. The positioning service unit 7 parses the received positioning data, converts it into the format required by the user, and integrates BeiDou and GPS data to improve positioning accuracy and reliability. It also calculates the user device's position coordinates, speed, direction, and other information, converts the parsed positioning data into a unified coordinate system, such as WGS-84 or GCJ-02, and filters and corrects the data to improve accuracy and reliability. Finally, the processed positioning information is output to the user or other system modules through a serial port or other communication interface.

[0080] The above-mentioned functions provide comprehensive support for users' health management in daily use. In emergency situations, the bracelet's emergency response capabilities are even more valuable. For example, when an elderly person wearing this bracelet suddenly falls or faints while walking, the bracelet will quickly sense the sudden change in movement and automatically activate the camera to record in real time. The data processing unit 5 processes the monitored data to determine whether the elderly person's health status has suddenly become serious. Once a level three warning is confirmed, the bracelet will immediately send the elderly person's precise location information, dual-camera images, and other data to the health management center 8. At the same time, the bracelet will automatically initiate a remote audio and video call with the health management center 8 to ensure that the health management center 8 can obtain the situation on the scene in real time. After receiving this information, the health management center 8 can directly view and inquire about the elderly person's real-time condition through the remote audio and video call function initiated by the bracelet and make a rapid response accordingly. At the same time, the bracelet provides real-time data changes, which greatly shortens the response time for rescue.

[0081] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the invention by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the invention should be included within the scope of protection of the invention.

[0082] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0083] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

[0084] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0085] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software module can reside in RAM memory 32, flash memory, ROM memory 32, EPROM memory 32, EEPROM memory 32, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0086] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory unit 32 and executed by a processor. Memory unit 32 can be implemented within the processor or externally; in the latter case, it is communicatively coupled to the processor via various means, as is well known in the art.

[0087] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term “comprising” as used in the specification or claims is interpreted in a manner similar to the term “including,” just as “including” is interpreted as a conjunction in the claims. Additionally, the use of any term “or” in the specification of the claims is intended to mean “non-exclusive or.”

Claims

1. A smart companion health bracelet, comprising a bracelet body (1), characterized in that, The upper surface of the main body (1) of the wristband is provided with an OLED flexible display screen (11), and the built-in circuit board (12) integrates a health monitoring sensor group, an eSIM cellular communication module (2) and a positioning module (4). The health monitoring sensor group is used to collect the user's health data, the eSIM cellular communication module (2) supports the user to make independent calls or connect to the Internet, and the positioning module (4) obtains the user's real-time location information. The main body (1) of the wristband has a built-in health monitoring system that runs on the central processing module (3) and includes a data processing unit (5) that analyzes the raw data of the health monitoring sensor group and generates the user's health indicators. The data collected by the health monitoring sensor group, the eSIM cellular communication module (2) and the positioning module (4) are transmitted to the central processing module (3) through the circuit board (12).

2. The intelligent companion health bracelet according to claim 1, characterized in that, The main body (1) of the bracelet is made of thermoplastic polyurethane. The inner layer of the main body (1) is provided with corrugated raised strips / arc raised blocks. The inside of the main body (1) is also provided with a flexible irregular battery (13) and a wireless charging receiving coil.

3. The intelligent companion health bracelet according to claim 2, characterized in that, The health monitoring sensor group includes an accelerometer (14), an optical heart rate sensor (15), a gyroscope (16), a vibration motor (17), and a reflective blood oxygen sensor. The accelerometer (14) is attached to the circuit board (12) with electronic adhesive. The optical heart rate sensor (15) and the reflective blood oxygen sensor are embedded in the bottom inner side of the wristband body (1) near the skin contact position. Their lens part and photosensitive part are flush with the inner side of the wristband body (1). The gyroscope (16) is fixed by the solder pads on the circuit board (12). The vibration motor (17) is fixed to the circuit board (12) with screws.

4. The intelligent companion health bracelet according to claim 3, characterized in that, The eSIM cellular communication module (2) includes a fisheye camera (21), two ordinary cameras (22), a microphone (23), and two speakers (24). The fisheye camera (21) is placed on the outside of the main body (1) of the wristband. The two ordinary cameras (22) are symmetrically arranged on both sides of the main body (1). There are two microphones (23) arranged on both sides of the main body (1). The two speakers (24) are embedded on both sides of the main body (1).

5. A smart companion health bracelet according to claim 4, characterized in that, The eSIM cellular communication module (2) also includes a three-mode integrated chip of eSIM chip, Bluetooth 5.2 and Wi-Fi 6, which share an antenna and use an RF switch that supports high frequency band switching to switch the radio frequency signal, and is packaged on the back of the circuit board (12).

6. A smart companion health bracelet according to claim 5, characterized in that, The central processing module (3) includes a main control chip (31) and a memory (32). The main control chip (31) is an STM32H743VIT6 chip, and the memory (32) is used to store the collected data.

7. A smart companion health bracelet according to claim 6, characterized in that, The data processing unit (5) uses multi-source data fusion technology to fuse the data based on the data received by the central processing module (3) to obtain a comprehensive feature vector. Based on the fused data, it calculates vital signs indicators such as heart rate, blood oxygen, and respiratory rate using the results of data fusion. Through sleep analysis, it combines the comprehensive feature vector and the results of vital sign calculation to analyze the user's sleep status. Through health trend assessment, it calculates a health trend index of 0-100 points based on the results of vital sign calculation and sleep analysis, as well as the user's personal information, to comprehensively assess the user's overall health status.

8. A smart companion health bracelet according to claim 7, characterized in that, The health monitoring system also includes a health management center (8) responsible for storing health indicator data and issuing early warnings based on the health indicator data. The health management center (8) includes a graded early warning module (81). The graded early warning module (81) divides the user's health status into normal status, first-level early warning, second-level early warning and third-level early warning based on the health trend index. Among them, the health trend index of normal state is 70-100 points, which indicates that various physiological indicators are stable and vital signs such as heart rate, blood oxygen, and respiratory rate are normal. The health trend index for Level 1 warning is 50-69 points, indicating mild abnormalities in one or a few physiological indicators; A health trend index score of 30-49 for a Level II early warning indicates moderate abnormalities in multiple physiological indicators; A Level 3 warning is indicated by a Health Trend Index score of 10-29, signifying severe abnormalities in multiple physiological indicators.

9. A smart companion health bracelet according to claim 8, characterized in that, The health monitoring system also includes a positioning service unit (7) for processing the data from the positioning module (4) and outputting location information.

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