Apparatus and method for providing customized solution for respiratory rehabilitation

Abstract

The present invention relates to a device for providing signal processing and customized solutions for respiratory rehabilitation, and the respiratory rehabilitation solution providing device may include a data acquisition unit that collects user information and a user's respiratory signal measured through a respiratory measuring device, a data analysis unit that extracts feature points of the respiratory signal and analyzes a respiratory pattern based on the feature points, a solution providing unit that generates a customized respiratory guide based on the respiratory pattern, and a control unit that controls the resistance of the respiratory measuring device in steps based on the customized respiratory guide.

Description

Technology Field

[0001] The present invention relates to a device and method for providing customized solutions for respiratory rehabilitation. Background Technology

[0002] In modern society, respiratory diseases are on the rise due to various causes, and the need for respiratory rehabilitation is increasingly being emphasized. Respiratory rehabilitation is an important treatment method that alleviates symptoms and improves the quality of life for patients with respiratory diseases, and it has traditionally been performed under the guidance of experts in medical institutions such as hospitals.

[0003] Existing respiratory rehabilitation devices were primarily limited to simply measuring respiratory volume or peak expiratory flow rate, or inducing training based on preset general patterns. These devices failed to adequately reflect the individual breathing characteristics or conditions of users, thus limiting their ability to provide customized rehabilitation solutions. Furthermore, the lack of real-time feedback during breathing training made it difficult for users to maintain correct breathing patterns, and systematic management for long-term improvement of respiratory capacity was challenging.

[0004] Recent advancements in sensor and signal processing technologies have enabled more precise measurement of breathing signals, leading to attempts to provide personalized services utilizing artificial intelligence and big data analysis. However, technology capable of accurately analyzing users' breathing patterns to provide customized rehabilitation solutions has not yet been sufficiently developed.

[0005] In particular, there is a need to develop technology that extracts and analyzes characteristic points of breathing signals to accurately identify individual user breathing patterns and provides optimized, customized guidance based on the analyzed patterns, as well as technology that supports effective breathing rehabilitation training through real-time monitoring and feedback.

[0006] Accordingly, we aim to provide a device and method for providing a customized solution for respiratory rehabilitation that precisely measures and analyzes the user's breathing signals to provide a personalized respiratory rehabilitation solution, and supports effective improvement of breathing capacity through real-time feedback and long-term management.

[0007] The technology forming the background of this invention is disclosed in Korean Registered Patent Publication No. 10-2692922. The problem to be solved

[0008] The present invention aims to solve the problems of the aforementioned conventional technology by providing a device and method for providing a respiratory rehabilitation solution that precisely measures and analyzes a user's breathing signals to provide a customized breathing guide optimized for individual breathing patterns.

[0009] The present invention aims to solve the problems of the aforementioned conventional technology by providing an apparatus and method that extract various feature points from breathing signals and accurately analyze the user's breathing pattern to provide a customized solution tailored to the user's breathing condition.

[0010] The present invention aims to solve the problems of the aforementioned conventional technology by providing a device and method for a respiratory rehabilitation solution that supports long-term improvement of respiratory function by collecting and analyzing a user's breathing pattern data to identify trends in changes in breathing capacity and continuously optimizing a customized breathing guide.

[0011] However, the technical problems that the embodiments of the present invention aim to solve are not limited to the technical problems described above, and other technical problems may exist. means of solving the problem

[0012] As a technical means for achieving the above-mentioned technical task, a respiratory rehabilitation solution providing device according to one embodiment of the present invention may include a data acquisition unit that collects user information and a user's respiratory signal measured through a respiratory measuring device, a data analysis unit that extracts feature points of the respiratory signal and analyzes a respiratory pattern based on the feature points, a solution providing unit that generates a customized respiratory guide based on the respiratory pattern, and a control unit that controls the respiratory measuring device step by step based on the customized respiratory guide.

[0013] In addition, the data acquisition unit can acquire the respiration signal including a normal respiration signal and a maximum respiration signal.

[0014] In addition, the respiratory rehabilitation solution providing device may further include a data preprocessing unit that preprocesses respiratory signals.

[0015] In addition, the data analysis unit can analyze the extracted feature points by comparing them with multiple pre-stored breathing patterns.

[0016] In addition, the data analysis unit can analyze the breathing pattern by extracting the feature points, including pressure change, pressure change rate, and pressure acceleration, from the breathing signal.

[0017] In addition, the solution provider can set a target pattern by comparing the analyzed breathing pattern and the reference pattern, and provide the customized breathing guide.

[0018] In addition, the breathing rehabilitation solution providing device may further include a feedback unit that monitors the user's breathing training in real time and adjusts the customized breathing guide according to the monitoring.

[0019] In addition, the respiratory rehabilitation solution providing device may further include a database unit that classifies and stores acquired respiratory signals by pattern.

[0020] In addition, the solution provider can adjust the customized breathing guide by analyzing data stored in the database.

[0021] In addition, the feedback unit can derive the degree of improvement in the user's breathing ability according to the customized breathing guide and optimize the customized breathing guide based on the degree of improvement in breathing ability.

[0022] In addition, the respiratory rehabilitation solution providing device may further include a display unit that provides visualized information by comparing the user's breathing pattern with the target pattern.

[0023] Meanwhile, a method for providing a respiratory rehabilitation solution according to one embodiment of the present invention may include the steps of collecting user information and a user's respiratory signal measured through a respiratory measuring device, extracting feature points of the respiratory signal and analyzing a respiratory pattern based on the feature points, generating a customized respiratory guide based on the respiratory pattern, and controlling the resistance of the respiratory measuring device in steps based on the customized respiratory guide.

[0024] The means for solving the problem described above are merely exemplary and should not be interpreted as intended to limit the present invention. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and the detailed description of the invention. Effects of the invention

[0025] According to the solution to the problem of the present invention described above, by precisely measuring and analyzing the user's breathing signals and providing a customized breathing guide tailored to the individual's breathing pattern, it is possible to improve the efficiency of breathing rehabilitation training.

[0026] According to the solution to the problem of the present invention described above, a customized rehabilitation solution can be provided by accurately identifying the breathing state of a user through the extraction and analysis of various feature points of breathing signals.

[0027] According to the solution to the problem of the present invention described above, by controlling the resistance of the respiration measuring device in stages according to the improvement status of the user's breathing ability, systematic and gradual difficulty adjustment is possible, thereby effectively strengthening the user's respiratory muscle strength.

[0028] However, the effects obtainable from this invention are not limited to those described above, and other effects may exist. Brief explanation of the drawing

[0029] FIG. 1 is a schematic diagram of a respiratory rehabilitation solution providing system according to one embodiment of the present invention. FIG. 2 is a schematic diagram showing the configuration of a breath measuring device according to one embodiment of the present invention. FIG. 3 is a block diagram schematically showing the configuration of a respiratory rehabilitation solution providing device according to one embodiment of the present invention. FIG. 4 is a diagram exemplarily illustrating the process of extracting feature points for breathing pattern analysis according to one embodiment of the present invention. FIG. 5 is a diagram illustrating an exemplary process of extracting pressure change, pressure change rate, and pressure acceleration according to one embodiment of the present invention. FIG. 6 is a flowchart illustrating the user registration and login flow according to one embodiment of the present invention. FIG. 7 is a flowchart exemplarily illustrating the process of analyzing the performance of a breath analysis model and updating the performance according to one embodiment of the present invention. FIG. 8 is a flowchart of the operation of a method for providing a respiratory rehabilitation solution according to one embodiment of the present invention. Specific details for implementing the invention

[0030] Embodiments of the present invention are described below with reference to the attached drawings to enable those skilled in the art to easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0031] Throughout this specification, when a part is described as being "connected" to another part, this includes not only cases where they are "directly connected," but also cases where they are "electrically connected" or "indirectly connected" with other elements interposed between them.

[0032] Throughout the entire specification, when a component is described as being located "on," "on top," "on top," "under," "on bottom," or "on bottom" of another component, this includes not only cases where the component is in contact with the other component but also cases where another component exists between the two components.

[0033] Throughout this specification, when a part is described as "comprising" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0034] The present invention relates to a device (30) and a method for providing a customized solution for respiratory rehabilitation.

[0035] FIG. 1 is a schematic diagram of a respiratory rehabilitation solution providing system (10) according to one embodiment of the present invention.

[0036] Referring to FIG. 1, the respiratory rehabilitation solution providing system (10) may include a respiratory rehabilitation solution providing device (30), a user terminal (40), and a respiration measuring device (50).

[0037] Although FIG. 1 illustrates a respiratory rehabilitation solution providing device (30) connected to a single user terminal (40), it is not limited thereto and may include multiple user terminals (40) owned by medical professionals or administrators that receive user respiratory information such as respiratory signals, respiratory patterns, and customized breathing guides provided by the respiratory rehabilitation solution providing device (30).

[0038] The user terminal (40) includes all personal computers and laptops, and may include all types of wired / wireless communication devices such as smartphones, smartpads, tablet PCs, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), and Wibro (Wireless Broadband Internet) terminals.

[0039] A respiratory rehabilitation solution providing device (30), a user terminal (40), and a respiratory measuring device (50) can communicate with each other through a network (20). The network (20) refers to a connection structure capable of exchanging information between each node, such as terminals and servers. Examples of such a network (20) include, but are not limited to, a 3GPP (3rd Generation Partnership Project) network, an LTE (Long Term Evolution) network, a 5G network, a WIMAX (World Interoperability for Microwave Access) network, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a Wi-Fi network, a Bluetooth network, a satellite broadcasting network, an analog broadcasting network, and a DMB (Digital Multimedia Broadcasting) network.

[0040] FIG. 2 is a schematic diagram showing the configuration of a breath measuring device (50) according to one embodiment of the present invention.

[0041] The breathing meter (50) can obtain a voltage signal according to the exhalation pressure or inhalation pressure during the user's exhalation or inhalation through a provided positive pressure sensor or negative pressure sensor as a breathing signal.

[0042] Referring to FIG. 2, a breath measuring device (50) according to one embodiment of the present invention may include a mouthpiece (25), an air buffer tank (21), a plurality of solenoid valve switches (24a, 24b, 24c), a positive pressure sensor (30a), a negative pressure sensor (30b), a signal amplifier (40a, 40b), and a microcontroller unit (MCU).

[0043] The mouthpiece can receive breath (exhalation, inhalation) from the user.

[0044] The air buffer tank (20) can control the sensitivity of the user's exhalation pressure or inhalation pressure for analyzing the user's breathing ability or breathing pattern.

[0045] More specifically, the air buffer tank may include a tank body (21), a first inlet / outlet port (22a), a second inlet / outlet port (22b), and a plurality of terminals (23a, 23b, 23c).

[0046] The first inlet / outlet port (22a) may be provided on the upper surface of the tank body (21) along the longitudinal direction of the air buffer tank and may provide a connection with a mouthpiece. The first inlet / outlet port may allow the user's breathing air provided from the mouthpiece to be introduced.

[0047] The second inlet / outlet port may be provided on the lower surface of the tank body along the longitudinal direction of the air buffer tank and may provide a connection with a positive pressure sensor and a negative pressure sensor. The second inlet / outlet port may allow air inside the tank body to be introduced or removed.

[0048] Multiple terminals may be provided to adjust the sensitivity of the user's exhalation or inhalation pressure in stages as the user breathes, and may allow air to flow in and out of the tank body.

[0049] According to one embodiment of the present invention, a plurality of terminals may be provided along the longitudinal direction on the side of the tank body. Additionally, the diameter of each of the plurality of terminals may have different sizes. By having different diameters for each of the plurality of terminals, breathing capacity or breathing patterns can be analyzed or evaluated in stages for each of the user's maximum breathing or normal breathing.

[0050] A plurality of terminals may include, for example, a solenoid valve, such that when electricity is supplied, the flange rises to open the valve, and when electricity is cut off, the valve is automatically closed by the weight of the flange.

[0051] A positive pressure sensor can measure a signal based on the expiratory pressure during the user's breathing. A negative pressure sensor can measure a signal based on the inspiratory pressure during the user's breathing. For example, a positive pressure sensor can measure the intensity of external pressure (positive pressure) flowing out of an air buffer tank, and a negative pressure sensor can measure the intensity of internal pressure (negative pressure) flowing into the air buffer tank.

[0052] The microcontroller unit (MCU) receives signals measured through the positive pressure sensor and the negative pressure sensor, and can transmit the received signals to the data analysis unit (120) through the network (20).

[0053] FIG. 3 is a block diagram schematically showing the configuration of a respiratory rehabilitation solution providing device (30) according to one embodiment of the present invention.

[0054] Referring to FIG. 3, the respiratory rehabilitation solution providing device (30) may include a data acquisition unit (110) that collects user's respiratory signals measured through user information and a respiratory measuring device (50), a data analysis unit (120) that extracts feature points of the respiratory signals and analyzes the respiratory pattern based on the feature points, a solution providing unit (130) that generates a customized respiratory guide based on the respiratory pattern, and a control unit (140) that controls the respiratory measuring device (50) step by step based on the customized respiratory guide.

[0055] According to one embodiment of the present invention, the data acquisition unit (110) can collect user information and the user's breathing signal measured through the breathing meter (50).

[0056] Specifically, the data acquisition unit (110) can receive user information including age, gender, height, weight, disease information, etc., and a respiration signal measured through the positive pressure sensor and negative pressure sensor of the respiration measuring device (50) from the MCU.

[0057] Additionally, the data acquisition unit (110) may receive physical information such as age, gender, height, and weight, and disease information including asthma, chronic obstructive pulmonary disease (COPD), pulmonary fibrosis, and sleep apnea from the user in advance through the display unit described later, or collect the user's physical information or disease information by linking with a medical data system through a network (20). Additionally, it may receive user information recorded in a hospital by linking with an electronic medical record (EHR, EMR) system, or acquire user information from a health management application (e.g., Samsung Health, Apple Health, Google Fit) of the user terminal (40) and wearable devices such as a smart watch, but is not limited thereto.

[0058] According to one embodiment of the present invention, the data acquisition unit (110) can acquire a breathing signal including a normal breathing signal and a maximum breathing signal.

[0059] Specifically, the data acquisition unit (110) can collect a breathing signal including a normal breathing signal measured when the user breathes normally through the breathing meter (50) or a maximum breathing signal measured when breathing deeply and exhaling.

[0060] According to one embodiment of the present invention, a data preprocessing unit (not shown) can preprocess a respiration signal.

[0061] Specifically, the data preprocessing unit can perform preprocessing to remove noise included in the breath signal collected from the breath measuring device (50) and to normalize the signal. The data preprocessing unit can remove high-frequency noise or outliers that may occur during the breath measurement process by applying filtering techniques such as a low-pass filter and a median filter to remove noise. In addition, the data preprocessing unit can process the data to compare and analyze breath signals between different users through a normalization process that corrects baseline drift of the signal and standardizes signal strength.

[0062] In addition, the data preprocessing unit can perform preprocessing to handle missing values ​​using linear interpolation or spline interpolation for parts of the breath signal that may be lost due to temporary sensor contact failure or device malfunction during breath signal measurement.

[0063] According to one embodiment of the present invention, the data analysis unit (120) can extract feature points of a breathing signal and analyze a breathing pattern based on the feature points.

[0064] In this regard, FIG. 4 is a diagram exemplarily illustrating the process of extracting feature points for breathing pattern analysis according to one embodiment of the present invention.

[0065] Referring to FIG. 4, the data analysis unit (120) can extract feature points by measuring pressure values ​​and rates of change at specific points based on a user's breathing signal including pressure changes over time, and analyze breathing patterns using a pre-established breathing analysis model.

[0066] According to one embodiment of the present invention, the data analysis unit (120) can analyze the extracted feature points by comparing them with a plurality of previously stored breathing patterns.

[0067] Specifically, the data analysis unit (120) can analyze feature points extracted from a user's breathing signal by comparing them with a plurality of pre-stored breathing patterns. Here, the plurality of pre-stored breathing patterns refers to breathing patterns included in breathing signals collected in advance from multiple users of various age groups, genders, and health conditions, and the data analysis unit (120) can derive a standard breathing pattern (reference pattern) by comprehensively analyzing the plurality of breathing patterns.

[0068] More specifically, the data analysis unit (120) can classify users into groups based on user information including age, gender, height, weight, and disease information, and statistically analyze the breathing patterns of individual users included in each group to derive an average value, or apply a machine learning-based clustering algorithm to classify similar patterns. The data analysis unit (120) can quantitatively measure the differences between breathing patterns based on representative feature points of each group (e.g., maximum expiratory pressure, maximum inspiratory pressure, change in breathing rate, etc.), and the breathing analysis model can derive a standard breathing pattern exhibiting the most consistent characteristics through an iterative learning process.

[0069] Additionally, the data analysis unit (120) can extract feature points from a standard breathing pattern and derive an analysis result by comparing and analyzing them with feature points extracted from a breathing pattern included in the user's breathing signal. The data analysis unit (120) can calculate the similarity between the user's breathing pattern and the standard breathing pattern based on a breathing analysis model and derive an analysis result of an area requiring customized breathing training in conjunction with information on specific breathing disorders or diseases.

[0070] Here, the breath analysis model is a model built based on machine learning algorithms that possesses pre-existing pattern recognition and classification capabilities by learning the breathing patterns of multiple users. By learning the characteristics of breathing patterns associated with specific respiratory disorders or diseases, the breath analysis model can determine whether a user's breathing pattern shows similarities to the breathing patterns or characteristic points of a particular disease. For example, asthma can manifest as intermittent airway obstruction and significant breath variability. By comparing disease-specific characteristics with the user's breathing patterns or characteristic points to calculate similarity, the breath analysis model can derive analysis results indicating areas requiring personalized breathing training.

[0071] According to one embodiment of the present invention, the data analysis unit (120) can analyze the breathing pattern by extracting feature points including pressure change, pressure change rate, and pressure acceleration from the breathing signal.

[0072] In this regard, FIG. 5 is a diagram illustrating an exemplary process of extracting pressure change, pressure change rate, and pressure acceleration according to one embodiment of the present invention.

[0073] Referring to FIG. 5, the data analysis unit (120) can analyze the breathing pattern by extracting pressure change, pressure change rate (first derivative of pressure), and pressure acceleration (first derivative of pressure change rate).

[0074] Specifically, the data analysis unit (120) can evaluate the overall breathing pressure characteristics of a user by extracting feature points such as maximum expiratory pressure, maximum inspiratory pressure, and average pressure change from the time-dependent fluctuations in inspiratory and exhaled pressures occurring during the breathing process of a plurality of users or users (subjects), and can analyze the breathing rhythm by identifying the rate at which the pressure changes at a specific point in time.

[0075] Additionally, the data analysis unit (120) can calculate the slope (first derivative value) of the pressure (inhalation and exhalation pressure) and analyze the rate of change of pressure over time to extract feature points such as the maximum pressure change rate and the point where the pressure change rate becomes zero (pressure maximum / minimum point), and evaluate whether the user's inhalation and exhalation rates are constant or follow a normal pattern.

[0076] In addition, the data analysis unit (120) can analyze the degree of change in the rate of change of pressure over time by extracting feature points such as the section of rapid fluctuation of pressure change and the maximum and minimum values ​​of acceleration based on pressure acceleration (second derivative value) which represents the acceleration of the speed at which the breathing pressure changes, and can analyze whether the user controls breathing smoothly and whether the breathing muscles function normally.

[0077] In summary, the data analysis unit (120) can derive an area requiring customized breathing training as an analysis result by extracting feature points from the breathing signals of a user (subject) and comparing and analyzing them based on a breathing analysis model built by learning in advance feature points including pressure change, pressure change rate, and pressure acceleration extracted from multiple users' breathing signals collected in advance, and multiple user information including age, gender, height, weight, and disease information.

[0078] According to one embodiment of the present invention, the solution providing unit (130) can generate a customized breathing guide based on a breathing pattern.

[0079] Specifically, the solution provider (130) can generate a customized breathing guide corresponding to the user's breathing ability and condition based on the analysis results derived from the user's breathing pattern and feature points analyzed by the data analysis unit (120).

[0080] More specifically, the solution provider (130) can evaluate the level of breathing ability by comparing and analyzing the user's breathing pattern (normal breathing characteristics) or maximum breathing power (maximum inspiratory pressure and maximum expiratory pressure) based on the analysis results, and can generate a customized breathing guide including breathing resistance control, breathing rate adjustment, breathing rhythm training, etc.

[0081] For example, the solution provider (130) can analyze that the user is in a state where it is difficult to maintain deep and regular breathing because the maximum inspiratory pressure (Pmax) and maximum expiratory pressure (Pmin) in the area requiring customized breathing training are low, or the rate of change of pressure (ΔP / Δt) changes rapidly, or the breathing muscle strength is weak or breathing control ability is insufficient, and evaluate the user's breathing ability level as 'state of reduced breathing muscle strength' or 'state of insufficient breathing control ability', and generate a customized breathing training guide that induces the user to improve breathing muscle strength or maintain a constant breathing depth by gradually adjusting the breathing resistance (sensitivity of the expiratory pressure or inspiratory pressure of multiple terminals).

[0082] According to one embodiment of the present invention, the solution providing unit (130) can set a target pattern by comparing the analyzed breathing pattern and the reference pattern, and provide a customized breathing guide.

[0083] Specifically, the solution provider (130) can quantitatively measure the difference between the user's current breathing pattern and the reference pattern analyzed by the data analysis unit (120) and set a target pattern that the user must reach.

[0084] Additionally, the solution provider (130) may provide a customized breathing guide with specific training methods to reduce the difference between the user's current breathing pattern and the target pattern. For example, if the ratio of inhalation to exhalation is unbalanced, it may provide a customized breathing guide that encourages maintaining an appropriate inhalation-exhalation ratio (e.g., 1:2). Additionally, if maximum expiratory power is insufficient, it may recommend expiratory training at a specific resistance level to strengthen expiratory power.

[0085] According to one embodiment of the present invention, a feedback unit (not shown) monitors the user's breathing training in real time and can adjust a customized breathing guide based on the monitoring.

[0086] Specifically, the feedback unit collects breathing training data by monitoring the user's breathing training in real time and can dynamically adjust the customized breathing guide by analyzing the difference between the current breathing pattern and the target pattern.

[0087] According to one embodiment of the present invention, a database unit (not shown) can classify and store acquired breathing signals by pattern.

[0088] Specifically, the database unit can classify and store the breathing signals of multiple users analyzed by the data analysis unit (120) into general breathing patterns, maximum breathing force patterns, specific disease patterns, etc.

[0089] According to one embodiment of the present invention, the feedback unit can adjust the customized breathing guide by analyzing data stored in the database unit.

[0090] Specifically, the feedback unit can collect real-time breathing signals from a user undergoing breathing rehabilitation using a breathing meter (50) according to a customized breathing guide, and compare and analyze them with the user-specific breathing patterns and target patterns stored in the database unit to adjust the customized breathing guide.

[0091] In addition, the feedback unit can analyze data (breathing signals, breathing patterns, user information, etc.) stored in the database unit and provide a customized breathing guide that reflects the trend of improvement in the user's breathing ability.

[0092] According to one embodiment of the present invention, the feedback unit derives the degree of improvement in the user's breathing ability according to the customized breathing guide and can optimize the customized breathing guide based on the degree of improvement in breathing ability.

[0093] Specifically, the feedback unit derives the degree of improvement in breathing ability by comparing the user's breathing signal (previous breathing signal) measured within a predetermined time based on the real-time breathing signal of the user performing breathing rehabilitation using a breathing meter (50) according to the customized breathing guide, and can change the customized breathing guide based on the degree of improvement in breathing ability.

[0094] Here, the degree of improvement in breathing capacity can be calculated by comprehensively considering changes in breathing patterns, the degree of reduction in the difference from the target pattern, breathing stability, and sustainability.

[0095] For example, if, as a result of the user continuing breathing rehabilitation training, the current breathing pattern approaches the target pattern, the ratio of inhalation to exhalation is maintained at a constant level, and the breathing rate is balanced, the feedback unit evaluates that the user's breathing ability has improved and can change the customized breathing guide by gradually increasing the training intensity or adjusting the target pattern.

[0096] According to one embodiment of the present invention, a display unit (not shown) can provide visualized information by comparing the user's breathing pattern and the target pattern.

[0097] Specifically, the display unit provides a graph comparing the current breathing pattern with the target pattern, enabling the user to visually understand how similar their breathing pattern is to the target pattern. For example, by displaying real-time measured breathing signals in the form of a graph and expressing the difference from the target pattern using color changes or numerical indicators, it is possible to intuitively identify necessary adjustments during training.

[0098] In addition, the display unit can quantitatively analyze the degree of improvement in breathing capacity to evaluate whether the user's breathing pattern is improving through training. To this end, it can output visualized information configured to allow the user to check their training performance at a glance by providing maximum breathing power, breathing rhythm stability, and changes in breathing depth through visual charts, bar graphs, and progress indicators.

[0099] According to one embodiment of the present invention, the control unit (140) can control the breath measuring device (50) in stages based on a customized breath guide.

[0100] Specifically, the control unit (140) can control the resistance, airflow control, and training intensity of the breathing meter (50) in stages based on a customized breathing guide.

[0101] More specifically, the control unit (140) can adjust the resistance level of the breath meter (50) or adjust the inhalation and exhalation flow based on the customized breathing guide generated by the solution providing unit (130) and real-time data provided by the feedback unit.

[0102] For example, if the user's breathing ability improves and gradually reaches the target pattern, the control unit (140) can increase the breathing resistance to increase the training intensity, and conversely, if the change in the breathing pattern is irregular or the difference from the target pattern is maintained, the breathing resistance can be temporarily lowered to adjust the user so that they can train stably.

[0103] FIG. 6 is a flowchart illustrating the user registration and login flow according to one embodiment of the present invention.

[0104] Referring to FIG. 6, a respiratory rehabilitation solution providing device (30) according to one embodiment of the present invention may be configured to provide a customized respiratory rehabilitation service through a user registration and login process via a display unit. By separating the procedure into cases where the user creates a new account and cases where the user logs in with an existing account, efficient user management and data linkage may be enabled.

[0105] Specifically, if the user is a new user, after creating an ID, user information including gender, age, and disease details is received to generate a unique personalized ID, and the system can enter a measurement mode that measures the user's initial breathing signals to analyze breathing patterns and capabilities. Additionally, if the user wishes to regenerate the ID, the existing ID can be reset.

[0106] Existing users log in by entering their ID and password, and the system authenticates the user after verifying the stored unique ID. After logging in, users can enter measurement mode or rehabilitation mode according to their condition to proceed with breathing training, and can perform the training repeatedly until the user wishes to terminate it.

[0107] FIG. 7 is a flowchart exemplarily illustrating the process of analyzing the performance of a breath analysis model and updating the performance according to one embodiment of the present invention.

[0108] Referring to FIG. 7, a respiratory rehabilitation solution providing device (30) according to one embodiment of the present invention can perform a process of evaluating the performance of a respiratory analysis model and optimizing the performance by analyzing data stored in a database.

[0109] The process of optimizing a breath analysis model can consist of the steps of breath pattern differentiation and diagnosis, algorithm selection and provision, and performance monitoring and updating.

[0110] By identifying and diagnosing the user's breathing patterns, comparing the current breathing pattern with the target pattern, and classifying specific patterns (A to Z range), it is possible to indiscriminately provide A / B algorithms and select the optimal algorithm for various patterns.

[0111] A user-customized algorithm can be provided, and adaptive control can be performed so that it can be applied organically according to the user's condition. For example, the resistance of the breathing meter (50) can be dynamically adjusted according to changes in the user's breathing pattern, or the solenoid load can be adjusted to maintain optimal training intensity.

[0112] In addition, breathing signals collected from a breathing meter (50) for multiple users can be stored in a database, and data can be classified and analyzed by group to compare the user's general breathing pattern and maximum breathing power, and the standard breathing pattern can be continuously updated based on the analyzed data.

[0113] In the performance monitoring phase, comparative analysis with the existing model is performed using performance metrics, and data analysis results can be continuously reflected through a feedback loop. If the performance of the breath analysis model does not improve compared to the existing model, the algorithm can be re-selected to maintain an optimized model.

[0114] Below, based on the details described above, we will briefly examine the operation flow of the present invention.

[0115] FIG. 8 is a flowchart of the operation of a method for providing a respiratory rehabilitation solution according to one embodiment of the present invention.

[0116] The method for providing a respiratory rehabilitation solution illustrated in FIG. 8 can be performed by the respiratory rehabilitation solution providing device (30) described above. Therefore, even if the content is omitted below, the description of the respiratory rehabilitation solution providing device (30) can be equally applied to the description of the method for providing a respiratory rehabilitation solution.

[0117] In step S11, the data acquisition unit (110) can collect user information and the user's breathing signal measured through the breathing meter (50).

[0118] Additionally, in step S11, the data acquisition unit (110) can acquire the breathing signal including normal breathing and maximum breathing signals.

[0119] Next, in step S12, the data analysis unit (120) can extract feature points of the breathing signal and analyze the breathing pattern based on the feature points.

[0120] Additionally, in step S12, the data analysis unit (120) can analyze the extracted feature points by comparing them with a plurality of previously stored breathing patterns.

[0121] Additionally, in step S12, the data analysis unit (120) can analyze the breathing pattern by extracting the feature points including pressure change, pressure change rate, and pressure acceleration from the breathing signal.

[0122] Next, in step S13, the solution provider (130) can generate a customized breathing guide based on the breathing pattern.

[0123] Additionally, in step S13, the solution provider (130) can set a target pattern by comparing the analyzed breathing pattern and the reference pattern, and provide the customized breathing guide.

[0124] Additionally, in step S13, the solution providing unit (130) can adjust the customized breathing guide by analyzing the data stored in the database unit that classifies and stores the acquired breathing signals by pattern.

[0125] Additionally, in step S13, the solution provider (130) derives the degree of improvement in the user's breathing ability according to the customized breathing guide and can optimize the customized breathing guide based on the degree of improvement in breathing ability.

[0126] Next, in step S14, the control unit (140) can control the breathing meter (50) step by step based on the customized breathing guide.

[0127] In the description above, steps S11 through S14 may be further divided into additional steps or combined into fewer steps according to an embodiment of the present invention. Additionally, some steps may be omitted as necessary, and the order of the steps may be changed.

[0128] A method for providing a customized solution for respiratory rehabilitation according to one embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either individually or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the present invention, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

[0129] In addition, the aforementioned method for providing a respiratory rehabilitation solution may also be implemented in the form of a computer program or application executed by a computer and stored on a recording medium.

[0130] The foregoing description of the present invention is for illustrative purposes only, and those skilled in the art will understand that other specific forms can be easily modified without altering the technical concept or essential features of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. For example, each component described as a single unit may be implemented in a distributed manner, and components described as distributed may likewise be implemented in a combined form.

[0131] The scope of the present invention is defined by the claims set forth below rather than by the detailed description above, and all modifications or variations derived from the meaning and scope of the claims and the concept of equivalents thereof should be interpreted as being included within the scope of the present invention. Explanation of the symbols

[0132] 10: Respiratory Rehabilitation Solution Provision System 20: Network 30: Respiratory rehabilitation solution providing device 40: User terminal 50: Breath meter 110: Data acquisition unit 120: Data Analysis Department 130: Solution Provider 140: Control unit

Claims

Claim 1 A device for providing a customized solution for respiratory rehabilitation, comprising: a data acquisition unit that collects user information and a user's respiratory signal measured through a respiratory measuring device; a data analysis unit that extracts feature points of the respiratory signal and analyzes a respiratory pattern based on the feature points; a solution providing unit that generates a customized respiratory guide based on the respiratory pattern; and a control unit that controls the respiratory measuring device step by step based on the customized respiratory guide. Claim 2 A respiratory rehabilitation solution providing device according to claim 1, wherein the data acquisition unit acquires the respiratory signal including a normal respiratory signal and a maximum respiratory signal, and the respiratory rehabilitation solution providing device further includes a data preprocessing unit for preprocessing the respiratory signal. Claim 3 A respiratory rehabilitation solution providing device according to paragraph 2, wherein the data analysis unit analyzes the extracted feature points by comparing them with a plurality of pre-stored breathing patterns. Claim 4 A respiratory rehabilitation solution providing device according to paragraph 3, wherein the data analysis unit analyzes the respiratory pattern by extracting the feature points including pressure change, pressure change rate, and pressure acceleration from the respiratory signal. Claim 5 In paragraph 4, the solution providing unit sets a target pattern by comparing the analyzed breathing pattern and reference pattern, and provides the customized breathing guide, a breathing rehabilitation solution providing device. Claim 6 In claim 5, the respiratory rehabilitation solution providing device further comprises a solution providing unit that monitors the user's breathing training in real time and adjusts the customized breathing guide according to the monitoring. Claim 7 In claim 6, the respiratory rehabilitation solution providing device further comprises a database unit that classifies and stores the acquired respiratory signals by pattern. Claim 8 A respiratory rehabilitation solution providing device according to claim 7, wherein the solution providing unit analyzes data stored in the database unit and adjusts the customized breathing guide. Claim 9 A respiratory rehabilitation solution providing device according to claim 8, wherein the feedback unit derives the degree of improvement in the user's breathing ability according to the customized breathing guide and optimizes the customized breathing guide based on the degree of improvement in breathing ability. Claim 10 In claim 9, the respiratory rehabilitation solution providing device further comprises a display unit that provides visualized information by comparing the user's breathing pattern and the target pattern. Claim 11 A method for providing a customized solution for respiratory rehabilitation, comprising: collecting user information and a user's respiratory signal measured through a respiratory measuring device; extracting feature points of the respiratory signal and analyzing a respiratory pattern based on the feature points; generating a customized respiratory guide based on the respiratory pattern; and controlling the resistance of the respiratory measuring device in steps based on the customized respiratory guide. Claim 12 A computer-readable recording medium having a program for executing the method of paragraph 11 on a computer.

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