A smart breathing function training device, method and electronic device

Abstract

This invention discloses an intelligent respiratory function training device, method, and electronic device. The device includes a mouthpiece module and a display module. The mouthpiece module captures preset physical parameters of the user's breathing and generates corresponding electrical signal data. The preset physical parameters include airflow velocity, air pressure, and breathing pattern. The display module receives the electrical signal data in real time, preprocesses the received electrical signal data, and displays it according to a preset method. The preset method includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values. By proposing a visualized intelligent respiratory function training device, it provides users with personalized breathing exercise guidance, improving the user experience.

Description

Technical Field

[0001] This invention belongs to the field of intelligent device technology, and in particular to an intelligent respiratory function training device, method and electronic device. Background Technology

[0002] A respiratory function training device is an intelligent device integrating sensing technology, data processing capabilities, and a user interface. It monitors and analyzes the user's respiratory data to provide guidance on respiratory exercises, aiming to help users improve respiratory function, increase lung capacity, and enhance overall health. However, current products may lack sufficient real-time data processing and analysis, failing to provide sufficiently accurate and immediate feedback, thus affecting the user's training experience and effectiveness. Furthermore, the current user interface is not intuitive or user-friendly, requiring users to spend extra time and effort to familiarize themselves with and learn how to use it. Therefore, addressing the shortcomings of current intelligent respiratory function training devices has become an urgent technical problem to be solved. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent breathing function training device, method, and electronic device to address the shortcomings of the prior art. It provides users with personalized breathing exercise guidance by proposing a visual intelligent breathing function training device, thereby improving the user experience.

[0004] One embodiment of this application provides an intelligent respiratory function training device, the device comprising:

[0005] The mouthpiece module is used to capture preset physical parameters when the user blows air and generate corresponding electrical signal data. The preset physical parameters include airflow speed, air pressure and breathing mode.

[0006] The display module is used to receive electrical signal data in real time, and after preprocessing the received electrical signal data, display it in a preset manner. The preset manner includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values.

[0007] Optionally, the mouthpiece module includes a sensor unit, which is used to convert the physical signals corresponding to the preset physical parameters when the user blows into electrical signal data.

[0008] Optionally, the display module includes:

[0009] The wireless transmission unit and the data processing unit, wherein,

[0010] The wireless transmission unit is used to receive electrical signal data in real time and send the electrical signal data to the data processing unit;

[0011] The data processing unit is used to receive the electrical signal data, and to preprocess and analyze the electrical signal data in the following manner before displaying it:

[0012] The electrical signal data F(t) is converted according to the following preprocessing formula:

[0013]

[0014] G n (i,j)=∑W F (a,b)×G n-1 (i+a,j+b)

[0015] Among them, W F (a,b) represents the preprocessing coefficients of the electrical signal data F(t), where a represents the airflow velocity, b represents the air pressure, and G... n (i,j) represents the display data after preprocessing and analysis of electrical signal data, where i and j represent the normalized data corresponding to a and b, respectively.

[0016] Optionally, the display module further includes:

[0017] The display unit is used to display real-time data, historical trend data, and training result data of the user's breath.

[0018] Optionally, the real-time data includes user breathing depth parameters and breathing rate parameters.

[0019] Optionally, the training result data includes preset training difficulty, preset duration, and training mode.

[0020] Optionally, the device further includes:

[0021] The voice prompt module is used to generate voice prompts when it detects that the user's breathing parameters are not up to standard.

[0022] Optionally, the device further includes:

[0023] The gamification elements module provides users with gamified cartoon tasks corresponding to their blowing parameters, and includes game achievements, game rewards, and game leaderboards.

[0024] Another embodiment of this application provides a breathing training method, the method comprising:

[0025] Using the intelligent breathing function training device as described in any of the preceding claims, the user can dynamically adjust the breathing depth and frequency based on the real-time feedback and voice prompts provided on the display module to achieve the user's preset breathing training goals.

[0026] Another embodiment of this application provides an electronic device including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to implement the method described above.

[0027] Compared with existing technologies, this invention proposes an intelligent respiratory function training device, including a mouthpiece module and a display module. The mouthpiece module is used to capture preset physical parameters when the user blows air and generate corresponding electrical signal data. The preset physical parameters include airflow speed, air pressure, and breathing pattern. The display module is used to receive the electrical signal data in real time, preprocess the received electrical signal data, and display it according to a preset method. The preset method includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values. By proposing a visualized intelligent respiratory function training device, it provides users with personalized breathing exercise guidance, improving the user experience. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the structure of an intelligent respiratory function training device provided in an embodiment of the present invention;

[0029] Figure 2 A hardware structure block diagram of a computer terminal for a breathing training method provided in an embodiment of the present invention;

[0030] Figure 3 This is a schematic flowchart of a breathing training method provided in an embodiment of the present invention. Detailed Implementation

[0031] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0032] See Figure 1 , Figure 1 This is a schematic diagram of the structure of an intelligent respiratory function training device provided in an embodiment of the present invention. Figure 1 A smart breathing function training device 200 is shown. The device includes: a mouthpiece module 201, used to capture preset physical parameters when the user blows air and generate corresponding electrical signal data, the preset physical parameters including airflow speed, air pressure and breathing mode; and a display module 202, used to receive electrical signal data in real time, and after preprocessing the received electrical signal data, display it according to a preset method, the preset method including converting the preprocessed electrical signal data into corresponding charts and / or numerical values.

[0033] Specifically, the mouthpiece module 201 is the core input component of the intelligent respiratory function training device. Its main function is to capture various physical parameters generated by the user's exhalation during respiratory function training. These physical parameters are crucial for assessing the user's breathing status, training effectiveness, and providing personalized feedback suggestions. For example, the built-in flow rate sensor measures the airflow velocity in real time during the user's exhalation. The flow rate sensor can accurately capture subtle changes in airflow, providing the user with accurate breathing speed data. A pressure sensor measures the air pressure generated during the user's exhalation, which helps assess the user's breathing strength and lung function. Combining airflow velocity and pressure data with possible algorithmic analysis, the device identifies the user's breathing pattern (such as deep breathing, shallow breathing, rapid breathing, slow breathing, etc.). This identification helps the device better understand the user's breathing habits and provide corresponding training suggestions. The captured physical parameters are then converted into electrical signal data for subsequent processing and analysis.

[0034] The display module 202 receives electrical signal data from the mouthpiece module 201, preprocesses it, and then displays it to the user in an intuitive and easy-to-understand manner. This helps users understand their breathing status and the effectiveness of their exercise in real time. The display module 202 first receives electrical signal data from the mouthpiece module 201, then performs necessary preprocessing, such as filtering, amplification, and digitization, to ensure the accuracy and reliability of the data. The preprocessed data is then converted into intuitive charts for display. For example, it can plot breathing rate curves and air pressure change graphs, allowing users to clearly see their breathing changes. In addition to charts, key data can also be displayed directly on the screen in numerical form. For example, it can display the current breathing rate, air pressure value, and breathing pattern.

[0035] It's worth noting that users can choose different preset display methods according to their needs. For example, they can choose to display only charts, only numerical values, or both. Furthermore, different colors, fonts, and other settings can be customized to meet individual preferences.

[0036] Based on the user's breathing data and exercise goals, the display module 202 can also provide personalized feedback and suggestions. For example, when it detects that the user's breathing rate is too slow, it can remind the user to breathe faster; when the user's breathing strength is insufficient, it can suggest increasing the intensity of breathing exercises, etc. The two modules work together to provide the user with accurate and intuitive breathing data display and personalized exercise suggestions.

[0037] In one optional embodiment, the mouthpiece module 201 may include a sensor unit, which is used to convert physical signals corresponding to preset physical parameters when the user blows air into electrical signal data. The mouthpiece may be available in three sizes (small, medium, and large) to be selected according to the user's needs. A sensor is built into the bottom of the mouthpiece, which can capture important parameters during blowing, such as airflow speed, air pressure, and breathing pattern, and convert the physical signals into electrical signals.

[0038] For example, the mouthpiece module 201 is the core component of the intelligent respiratory function training device. It is responsible for capturing preset physical parameters when the user blows air and converting these physical signals into electrical signal data for subsequent processing and display. The airflow velocity sensor is one of the key components in the mouthpiece module, capable of measuring the airflow velocity in real time when the user blows. When the user blows through the mouthpiece, the airflow velocity sensor captures the airflow velocity and converts it into corresponding electrical signal data. This data directly reflects the user's breathing speed and force, providing important basis for subsequent respiratory assessment and training recommendations. Besides airflow velocity, air pressure is also an important parameter for assessing the user's breathing status. The air pressure sensor in the mouthpiece module 201 can measure the air pressure value generated when the user blows. When the user blows forcefully, the air pressure sensor senses the change in air pressure and converts it into electrical signal data. This data is used to assess the user's breathing force and lung function, helping the user better understand their breathing status. The sensor unit in the mouthpiece module 201 can also combine airflow velocity and air pressure data to identify the user's breathing pattern through algorithmic analysis. Breathing pattern recognition helps the device better understand the user's breathing habits, thereby providing personalized exercise suggestions. For example, it can determine whether a user has breathing problems, such as shallow or rapid breathing, based on their breathing patterns, and provide corresponding exercise suggestions to improve their breathing. The sensor unit converts the captured physical signals (such as airflow velocity and air pressure values) into electrical signal data and performs necessary preprocessing to ensure the accuracy and reliability of the data. The preprocessing process may include filtering, amplification, and digitization to remove noise, improve signal quality, and facilitate subsequent data processing and analysis. Through the sensor unit, the mouthpiece module 201 can accurately capture the physical parameters of the user's breathing and convert them into electrical signal data, providing important input information for the intelligent breathing function training device. This data will be further processed and analyzed to assess the user's breathing status, provide exercise suggestions, and implement personalized breathing exercise plans.

[0039] It should be noted that the materials used in the production of the intelligent breathing function training device can be durable and easy to clean, in order to ensure the reliability and hygiene of the intelligent breathing function training device during long-term use.

[0040] In one optional implementation, the display module 202 may include:

[0041] The wireless transmission unit and the data processing unit, wherein,

[0042] The wireless transmission unit is used to receive electrical signal data in real time and send the electrical signal data to the data processing unit;

[0043] The data processing unit is used to receive the electrical signal data, and to preprocess and analyze the electrical signal data in the following manner before displaying it:

[0044] The electrical signal data F(t) is converted according to the following preprocessing formula:

[0045]

[0046] G n (i,j)=∑W F (a,b)×G n-1 (i+a,j+b)

[0047] Among them, W F (a,b) represents the preprocessing coefficients of the electrical signal data F(t), where a represents the airflow velocity, b represents the air pressure, and G... n (i,j) represents the display data after preprocessing and analysis of electrical signal data, where i and j represent the normalized data corresponding to a and b, respectively.

[0048] In an optional implementation, the display module 202 may further include:

[0049] The display unit is used to display real-time data, historical trend data, and training result data of the user's breath.

[0050] Specifically, the display module 202 is a crucial component of the intelligent breathing function training device. It is responsible for displaying the user's breathing data in an intuitive and easy-to-understand manner. Through the display module 202, users can understand their breathing status, historical trends, and training results in real time. The display unit receives electrical signal data from the mouthpiece module 201 in real time and converts it into easily understandable charts or numerical values ​​for display. This real-time data may include key parameters such as the user's current breathing rate, air pressure, and breathing pattern, as well as parameters such as breathing depth and breathing frequency. Through real-time data display, users can intuitively understand their breathing status and adjust their breathing methods at any time. In addition to real-time data, the display unit can also display the user's historical trend data. This data records the changes in the user's breathing data over a period of time (such as a week or a month), helping users understand the changing trends of their breathing status over time. By comparing data from different time periods, users can more clearly recognize their progress or problems and adjust their breathing training plan accordingly. The display unit is also responsible for displaying the user's training result data. This training result data may include preset training difficulty, preset duration, and training mode. These data can be calculated based on the user's real-time and historical data, reflecting the user's effectiveness in respiratory function training. For example, it can display specific indicators such as the improvement in the user's breathing rate and the increase in air pressure, allowing the user to intuitively feel their progress. In addition, it can provide personalized training suggestions or challenges based on the user's training results to motivate the user to continue exercising. To meet the needs of different users, the display unit also supports customized display settings. Users can choose which data to display and how to display it according to their preferences and needs. For example, they can choose to display only real-time data or display both real-time and historical data; they can choose to display data in chart form or numerical form, etc. This customization setting makes it more convenient for users to use the intelligent respiratory function training device. Through the display unit in display module 202, users can easily view their breathing data, understand their training results, and adjust their training plan. This not only helps users improve the effectiveness of respiratory function training but also increases user satisfaction and trust in the device.

[0051] In one alternative embodiment, the device may further include: a voice prompt module 203, used to generate voice prompt information when it is detected that the user's breathing parameters are not up to standard.

[0052] Specifically, the voice prompt module 203 is an auxiliary function module of the intelligent respiratory function training device. Its main function is to automatically generate and play voice prompts when it detects that the user's breathing parameters have not reached the preset standards or targets. These voice prompts can guide the user to adjust their breathing methods or increase the intensity of the exercise in real time to achieve better training results. The voice prompt module 203 first receives electrical signal data from the mouthpiece module 201. This data includes the user's breathing parameter information, such as breathing rate, air pressure, and breathing mode. Then, the module analyzes this data in real time to determine whether the user's breathing parameters have reached the preset standards or targets. These standards or targets can be set according to the user's individual situation and training plan. When it detects that the user's breathing parameters have not reached the standard, the voice prompt module 203 will automatically generate corresponding voice prompts based on the preset prompt content. These prompts can include specific guidance suggestions such as suggesting that the user adjust their breathing rate, increase their breathing intensity, or change their breathing mode. At the same time, in order to enhance the user experience, the voice prompts can also use encouraging language, such as "Keep going, keep trying!", to motivate the user to continue the respiratory function training. The generated voice prompts will be played through a built-in voice playback device (such as a speaker). The playback volume and speed can be adjusted according to the user's needs to ensure that the user can hear the prompts clearly. Simultaneously, the voice playback can be linked with other functional modules (such as display module 202) to display relevant prompt content or data on the screen while the voice prompts are playing.

[0053] To meet the needs of different users, the voice prompt module 203 also supports personalized settings. Users can choose to turn the voice prompt function on or off according to their preferences and training plans, and set parameters such as the language, volume, and speech rate of the prompt content. This personalized setting allows users to use the intelligent breathing function training device more comfortably.

[0054] In an optional implementation, the device may further include: a gamification element module 204, which provides gamified cartoon tasks corresponding to the user's blowing parameters, and sets up game achievements, game rewards and game leaderboards.

[0055] Specifically, the gamification module 204 is an innovative component of the intelligent respiratory function training device. It aims to enhance the fun and motivation of users during respiratory function training by introducing gamified elements such as cartoon tasks, game achievements, game rewards, and game leaderboards. This module combines the user's breathing parameters with game elements, allowing users to enjoy the fun of gaming while exercising their respiratory function. The gamified cartoon tasks generate corresponding cartoon tasks based on the user's breathing parameters (such as breathing speed, air pressure, and breathing pattern). The cartoon tasks are designed to be both fun and challenging, attracting users' interest and motivating them to improve their respiratory function. Task content may include, but is not limited to: simulating blowing up balloons, blowing out virtual candles, and challenging breathing speed limits. Multiple game achievements are set, which users can obtain by completing specific tasks or reaching specific standards. The game achievements are designed to be challenging yet achievable through continuous effort, maintaining user participation and enthusiasm. The achievement content can be dynamically adjusted according to the user's training progress to ensure that users always have goals to pursue. Users will receive corresponding game rewards after completing cartoon tasks or obtaining game achievements. Rewards can include virtual currency, game items, unlocking new levels or characters, etc., which will enhance users' sense of satisfaction and accomplishment. By setting different levels of rewards, users can be motivated to continuously challenge themselves and improve their breathing function. A game leaderboard should be established to display users' rankings and achievements in the game. The leaderboard can be ranked according to different indicators, such as breathing speed, training time, and the number of game achievements obtained. Users can compare their position on the leaderboard to understand their level within the training group, thereby stimulating a sense of competition and increasing motivation.

[0056] By introducing gamification elements, breathing function training becomes more fun and engaging, thereby increasing user participation and training frequency. Mechanisms such as game achievements, rewards, and leaderboards stimulate users' competitive spirit and drive, encouraging them to be more actively involved in breathing function training. The gamification module 204 can be customized according to individual user circumstances and needs, providing personalized training experiences and game content to meet the needs of different users. By introducing the gamification module 204, the intelligent breathing function training device can provide users with a richer, more diverse, fun, and effective breathing function training experience.

[0057] Compared with existing technologies, this invention proposes an intelligent respiratory function training device, including a mouthpiece module and a display module. The mouthpiece module is used to capture preset physical parameters when the user blows air and generate corresponding electrical signal data. The preset physical parameters include airflow speed, air pressure, and breathing pattern. The display module is used to receive the electrical signal data in real time, preprocess the received electrical signal data, and display it according to a preset method. The preset method includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values. By proposing a visualized intelligent respiratory function training device, it provides users with personalized breathing exercise guidance, improving the user experience.

[0058] This invention also provides a breathing training method that can be applied to electronic devices, such as computer terminals, specifically ordinary computers, quantum computers, etc.

[0059] The following detailed explanation uses a computer terminal as an example. Figure 2 This is a hardware structure block diagram of a computer terminal for a breathing training method provided in an embodiment of the present invention. Figure 2 As shown, a computer terminal may include one or more ( Figure 2 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. Optionally, the computer terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 2 The structure shown is for illustrative purposes only and does not limit the structure of the computer terminal described above. For example, the computer terminal may also include components that are more complex than those described above. Figure 2 The more or fewer components shown, or having the same Figure 2 The different configurations shown.

[0060] The memory 104 can be used to store software programs and modules for application software, such as program instructions / modules corresponding to a breathing training method in this embodiment. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the system described above. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0061] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider for the computer terminal. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0062] See Figure 3 , Figure 3 This is a flowchart illustrating a breathing training method provided in an embodiment of the present invention. The method may include:

[0063] S301: Using the intelligent breathing function training device as described in any one of the claims, the user dynamically adjusts the breathing depth and frequency based on the real-time feedback and voice prompts provided on the display module to achieve the user's preset breathing training goal.

[0064] Specifically, first, users need to correctly activate the intelligent breathing exercise device according to the instructions in the instruction manual. Users can preset their breathing training goals, such as breathing speed, breathing depth, and training duration, through the device's settings menu or related applications. Users should correctly place the mouthpiece module over their mouth, ensuring smooth airflow and accurate data collection. Pressing the start button begins the device recording the user's breathing data, which is displayed in real-time on the display module. Users can observe their real-time breathing data, such as breathing speed and depth, through the display module. This data is presented intuitively in the form of charts or numerical values, helping users understand their breathing status. When the device detects that the user's breathing parameters are not up to standard, the voice prompt module will generate corresponding voice prompts to guide the user in adjusting their breathing depth and frequency. These prompts are based on the user's real-time breathing data and preset training goals, ensuring the training is targeted and effective. Based on real-time feedback and voice prompts, users can adjust their breathing depth and frequency in a targeted manner. Through repeated attempts and adjustments, users gradually find a breathing method that suits them, improving breathing efficiency and quality. When a user's breathing parameters reach the preset training goals, the device will provide corresponding prompts and rewards, such as voice congratulations, unlocking new levels, or receiving game rewards. This positive feedback will enhance the user's confidence and motivation. After training, users can view their training results through the device's display module or related applications. These results include training duration, trends in breathing parameter changes, and achieved training goals. This data helps users understand their training effectiveness and provides a reference for subsequent training. Users can also choose to save their training data for future viewing and comparison. Furthermore, users can share their training results on social media or exchange experiences with other users, increasing the fun and interactivity of training.

[0065] It should be noted that users can also download the training data from the smart breathing function training device to their linked mobile phone, and then consult and seek medical treatment online through the internet hospital.

[0066] By using an intelligent breathing function training device, users can dynamically adjust their breathing depth and frequency based on real-time feedback and voice prompts to achieve preset training goals. This training method is both scientific and effective, helping to improve users' respiratory function and quality of life.

[0067] This invention also provides a storage medium storing a computer program, wherein the computer program is configured to implement the steps in the above method embodiments when running.

[0068] Specifically, in this embodiment, the storage medium can be configured to store a computer program for performing the following steps:

[0069] S301: Using the intelligent breathing function training device as described in any one of the claims, the user dynamically adjusts the breathing depth and frequency based on the real-time feedback and voice prompts provided on the display module to achieve the user's preset breathing training goal.

[0070] Specifically, in this embodiment, the storage medium may include, but is not limited to, USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks, and other media capable of storing computer programs.

[0071] This invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps described in the method embodiments above.

[0072] Specifically, the aforementioned electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the aforementioned processor, and the input / output device is connected to the aforementioned processor.

[0073] Specifically, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0074] S301: Using the intelligent breathing function training device as described in any one of the claims, the user dynamically adjusts the breathing depth and frequency based on the real-time feedback and voice prompts provided on the display module to achieve the user's preset breathing training goal.

[0075] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0076] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0077] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0078] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0079] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0080] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0081] The embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An intelligent respiratory function training device, characterized in that, The device includes: The mouthpiece module is used to capture preset physical parameters when the user blows air and generate corresponding electrical signal data. The preset physical parameters include airflow speed, air pressure and breathing pattern. The mouthpiece module includes a sensor unit, which is used to convert the physical signals corresponding to the preset physical parameters when the user blows air into electrical signal data. The display module is used to receive electrical signal data in real time, preprocess the received electrical signal data, and display it according to a preset method. The preset method includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values. The display module includes a wireless transmission unit and a data processing unit. The wireless transmission unit is used to receive electrical signal data in real time and send the electrical signal data to the data processing unit. The data processing unit is used to receive the electrical signal data, preprocess and analyze the electrical signal data according to the following method, and then display it: For the electrical signal data... The conversion is performed according to the following preprocessing formula: ； in, Represents the electrical signal data Preprocessing coefficients, Indicates airflow velocity. Indicates air pressure. This represents the display data after preprocessing and analysis of electrical signal data. They represent The corresponding normalized data.

2. The intelligent respiratory function training device according to claim 1, characterized in that, The display module further includes: The display unit is used to display real-time data, historical trend data, and training result data of the user's breath.

3. The intelligent respiratory function training device according to claim 2, characterized in that, The real-time data includes the user's breathing depth parameters and breathing rate parameters.

4. The intelligent respiratory function training device according to claim 3, characterized in that, The training results data include preset training difficulty, preset duration, and training mode.

5. The intelligent respiratory function training device according to claim 1, characterized in that, The device further includes: The voice prompt module is used to generate voice prompts when it detects that the user's breathing parameters are not up to standard.

6. The intelligent respiratory function training device according to claim 1, characterized in that, The device further includes: The gamification elements module provides users with gamified cartoon tasks corresponding to their blowing parameters, and includes game achievements, game rewards, and game leaderboards.

7. A breathing training method, characterized in that, The method includes: Using the intelligent breathing function training device as described in any one of claims 1 to 6, the user can dynamically adjust the breathing depth and frequency based on the real-time feedback and voice prompts provided on the display module to achieve the user's preset breathing training goals.

8. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to implement the method of claim 7.

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