Respiratory function training method and device

Abstract

The invention provides a respiratory function training method and device, and the method comprises the following steps: carrying out the preliminary evaluation of the respiratory function of a trainee, and obtaining initial function data; selecting a training mode for the trainee according to the initial function data to obtain a primary training mode; obtaining a real-time training result of the trainee based on the primary training mode; according to the real-time training result, performing real-time feedback on the respiratory function of the trainee to obtain a real-time feedback result; according to the real-time feedback result, adjusting the primary training mode to obtain a personalized training scheme; and training the trainee based on the personalized training scheme to obtain a final training result. According to the technical scheme, the respiratory function training effect is improved.

Description

Background Art

[0002] Respiration is a basic physiological activity for maintaining life, and the respiratory muscles play a crucial role in this process. The respiratory muscles are important executors of human respiratory movements. The strength and endurance of the respiratory muscles also directly affect the vital capacity, oxygen intake, and overall respiratory function and activity performance of the human body. In addition, specific populations such as athletes and vocal performers also need to optimize their breathing patterns, improve their respiratory functions, and enhance their professional performances through breathing training.

[0003] Existing breathing training methods have many deficiencies. Current breathing training methods mainly rely on simple breathing trainers or mechanical devices, lack personalized training programs customized for different populations and needs, and cannot provide real-time feedback on training effects.

[0004] Therefore, developing a personalized, portable, easy-to-operate breathing training device with data analysis functions that can flexibly adjust training content based on real-time feedback data has important application value. Summary of the Invention

[0005] This application provides a breathing function training method and device to improve the effect of breathing function training.

[0006] In a first aspect, a breathing function training method is provided, including the following steps:

[0007] Conduct a preliminary assessment of the breathing function of the trainee to obtain initial function data;

[0008] Based on the initial function data, select a training mode for the trainee to obtain a primary training mode;

[0009] Based on the primary training mode, obtain the real-time training result of the trainee;

[0010] According to the real-time training result, provide real-time feedback on the breathing function of the trainee to obtain a real-time feedback result;

[0011] According to the real-time feedback result, adjust the primary training mode to obtain a personalized training plan;

[0012] Based on the personalized training plan, train the trainee to obtain a final training result.

[0013] In the above technical solution, through a preliminary assessment of the trainee's respiratory function, initial function data is obtained; according to the initial function data, a training mode is selected for the trainee to obtain a primary training mode; based on the primary training mode, the real-time training result of the trainee is obtained; according to the real-time training result, real-time feedback on the trainee's respiratory function is performed to obtain a real-time feedback result; according to the real-time feedback result, the primary training mode is adjusted to obtain a personalized training plan; based on the personalized training plan, the trainee is trained to obtain a final training result; the effect of respiratory function training is improved.

[0014] In a specific feasible implementation, it further includes:

[0015] According to the initial function data and the final training result, a final assessment is performed on the trainee to obtain final effect data.

[0016] In a specific feasible implementation, the initial function data includes:

[0017] Vital capacity, maximum inspiratory pressure value, maximum expiratory pressure value, thoracic expansion and contraction amplitude value, and trunk displacement value.

[0018] In a specific feasible implementation, the training mode includes:

[0019] Resistance training mode, used to increase the resistance of inhalation and exhalation through a breathing trainer to improve the strength of the respiratory muscles;

[0020] Endurance training mode, used to improve the endurance of the respiratory muscles through low-resistance breathing training for a set period of time;

[0021] Interval training mode, used to alternate between high-intensity and low-intensity breathing training to simulate the respiratory demands in actual activities;

[0022] Frequency control training mode, used to determine the most effective breathing rhythm by controlling the breathing frequency.

[0023] In a specific feasible implementation, the random forest algorithm is used to perform real-time feedback on the trainee's respiratory function to obtain the real-time feedback result.

[0024] In a specific feasible implementation, the adaptive learning algorithm is used to adjust the primary training mode to obtain the personalized training plan.

[0025] In a second aspect, a respiratory function training device is provided, including:

[0026] A preliminary assessment module, used to perform a preliminary assessment of the trainee's respiratory function to obtain initial function data;

[0027] A training mode module, configured to select a training mode for the trainee according to the initial function data, and obtain a primary training mode;

[0028] A real-time result module, configured to obtain the real-time training result of the trainee based on the primary training mode;

[0029] A real-time feedback module, configured to perform real-time feedback on the breathing function of the trainee according to the real-time training result, and obtain a real-time feedback result;

[0030] A mode adjustment module, configured to adjust the primary training mode according to the real-time feedback result, and obtain a personalized training plan;

[0031] A final result module, configured to train the trainee based on the personalized training plan, and obtain a final training result.

[0032] In the above technical solution, through a preliminary assessment of the breathing function of the trainee, initial function data is obtained; according to the initial function data, a training mode is selected for the trainee to obtain a primary training mode; based on the primary training mode, the real-time training result of the trainee is obtained; according to the real-time training result, real-time feedback is performed on the breathing function of the trainee to obtain a real-time feedback result; according to the real-time feedback result, the primary training mode is adjusted to obtain a personalized training plan; based on the personalized training plan, the trainee is trained to obtain a final training result; the effect of breathing function training is improved.

[0033] In a specific feasible implementation, it further includes:

[0034] A final evaluation module, configured to perform a final evaluation on the trainee according to the initial function data and the final training result, and obtain final effect data.

[0035] In a specific feasible implementation, it further includes: a chest patch and a trunk activity recording patch, wherein,

[0036] The chest patch is configured to obtain the thoracic expansion and contraction amplitude value and frequency value;

[0037] The trunk activity recording patch is configured to obtain the trunk displacement value.

[0038] In a specific feasible implementation, the training mode module includes:

[0039] A resistance training unit, configured to increase the resistance of inhalation and exhalation through a breathing trainer, and improve the strength of the respiratory muscles;

[0040] An endurance training unit for improving the endurance of respiratory muscles through low - resistance breathing training for a set period of time;

[0041] An interval training unit for simulating the respiratory demands in actual activities by alternating between high - intensity and low - intensity breathing training;

[0042] A frequency control training unit for determining the most effective breathing rhythm by controlling the breathing frequency. Brief Description of the Drawings

[0043] Figure 1 It is a flowchart of the breathing function training method provided by the embodiment of the present application;

[0044] Figure 2 It is a structural block diagram of the breathing function training device provided by the embodiment of the present application. Detailed Embodiments

[0045] The present application will be further described in detail below through the drawings and embodiments. Through these descriptions, the features and advantages of the present application will become more clearly defined.

[0046] The special word "exemplary" here means "serving as an example, embodiment, or illustrative". Any embodiment described as "exemplary" here does not have to be construed as superior to or better than other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings do not have to be drawn to scale unless otherwise specified.

[0047] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0048] To facilitate the understanding of the breathing function training method and device provided by the embodiments of the present application, its application scenarios will be described first. The breathing function training method and device provided by the embodiments of the present application are used to improve the effect of breathing function training. Breathing is a basic physiological activity to maintain life, and respiratory muscles play a crucial role in this process. Respiratory muscles are important executors of human breathing movements. The strength and endurance of respiratory muscles also directly affect the vital capacity, oxygen intake, and overall breathing function and activity performance of the human body. In addition, specific groups such as athletes and vocal performers also need to optimize their breathing patterns, improve their breathing functions, and enhance their professional performances through breathing training.

[0049] There are many deficiencies in existing breathing training methods. Currently, breathing training methods mainly rely on simple breathing trainers or mechanical devices, lack personalized training programs customized for different people and needs, and cannot provide real - time feedback on training effects. Therefore, the embodiments of the present application provide a breathing function training method and device to improve the effect of breathing function training. It will be described in detail below with specific drawings through embodiments.

[0050] Reference Figure 1 and Figure 2 , Figure 1 is a flowchart of the breathing function training method provided by the embodiment of the present application; Figure 2 is a structural block diagram of the breathing function training device provided by the embodiment of the present application.

[0051] In Figure 1 ,the embodiment of the present application provides a breathing function training method, including the following steps:

[0052] Conduct a preliminary assessment of the breathing function of the trainee to obtain initial function data;

[0053] Select a training mode for the trainee according to the initial function data to obtain a primary training mode;

[0054] Based on the primary training mode, obtain the real-time training result of the trainee;

[0055] According to the real-time training result, conduct real-time feedback on the breathing function of the trainee to obtain a real-time feedback result;

[0056] Adjust the primary training mode according to the real-time feedback result to obtain a personalized training plan;

[0057] Train the trainee based on the personalized training plan to obtain a final training result.

[0058] In the above technical solution, by conducting a preliminary assessment of the breathing function of the trainee to obtain initial function data; selecting a training mode for the trainee according to the initial function data to obtain a primary training mode; obtaining the real-time training result of the trainee based on the primary training mode; conducting real-time feedback on the breathing function of the trainee according to the real-time training result to obtain a real-time feedback result; adjusting the primary training mode according to the real-time feedback result to obtain a personalized training plan; training the trainee based on the personalized training plan to obtain a final training result; the effect of breathing function training is improved.

[0059] In a specific feasible implementation, it further includes:

[0060] Conduct a final assessment of the trainee according to the initial function data and the final training result to obtain final effect data.

[0061] In a specific feasible implementation, the initial function data includes:

[0062] Vital capacity, maximum inspiratory pressure value, maximum expiratory pressure value, thoracic expansion and contraction amplitude value, and trunk displacement value.

[0063] In a specific feasible embodiment, the training mode includes:

[0064] A resistance training mode for increasing the resistance of inhalation and exhalation through a breathing trainer to improve the strength of the respiratory muscles;

[0065] An endurance training mode for improving the endurance of the respiratory muscles through low-resistance breathing training for a set period of time;

[0066] An interval training mode for alternating between high-intensity and low-intensity breathing training to simulate the breathing demands in actual activities;

[0067] A frequency control training mode for determining the most effective breathing rhythm by controlling the breathing frequency.

[0068] In a specific feasible embodiment, a random forest algorithm is used to provide real-time feedback on the respiratory function of the trainee to obtain the real-time feedback result.

[0069] In a specific feasible embodiment, an adaptive learning algorithm is used to adjust the primary training mode to obtain the personalized training plan.

[0070] In Figure 2 this application embodiment provides a respiratory function training device, including:

[0071] A preliminary evaluation module for preliminarily evaluating the respiratory function of the trainee to obtain initial function data;

[0072] A training mode module for selecting a training mode for the trainee according to the initial function data to obtain a primary training mode;

[0073] A real-time result module for obtaining the real-time training result of the trainee based on the primary training mode;

[0074] A real-time feedback module for providing real-time feedback on the respiratory function of the trainee according to the real-time training result to obtain a real-time feedback result;

[0075] A mode adjustment module for adjusting the primary training mode according to the real-time feedback result to obtain a personalized training plan;

[0076] A final result module for training the trainee based on the personalized training plan to obtain a final training result.

[0077] In the above technical solution, through the preliminary assessment of the respiratory function of the trainee, initial function data is obtained; according to the initial function data, a training mode is selected for the trainee to obtain a primary training mode; based on the primary training mode, the real-time training result of the trainee is obtained; according to the real-time training result, real-time feedback is given to the respiratory function of the trainee to obtain a real-time feedback result; according to the real-time feedback result, the primary training mode is adjusted to obtain a personalized training plan; based on the personalized training plan, the trainee is trained to obtain a final training result; the effect of respiratory function training is improved.

[0078] In a specific feasible implementation, it further includes:

[0079] A final evaluation module, which is used to conduct a final evaluation of the trainee according to the initial function data and the final training result to obtain final effect data.

[0080] In a specific feasible implementation, it further includes: a chest patch and a trunk activity recording patch, wherein,

[0081] The chest patch is used to obtain the expansion and contraction amplitude value and frequency value of the chest cavity;

[0082] The trunk activity recording patch is used to obtain the trunk displacement value.

[0083] In a specific feasible implementation, the training mode module includes:

[0084] A resistance training unit, which is used to increase the resistance of inhalation and exhalation through a breathing trainer to improve the strength of the respiratory muscles;

[0085] An endurance training unit, which is used to improve the endurance of the respiratory muscles through low-resistance breathing training for a set period of time;

[0086] An interval training unit, which is used to alternate between high-intensity and low-intensity breathing training to simulate the respiratory demand in actual activities;

[0087] A frequency control training unit, which is used to determine the most effective breathing rhythm by controlling the breathing frequency.

[0088] Those skilled in the art of the present application know that the present application can be implemented as a system, a method, or a computer program product.

[0089] Accordingly, the present disclosure may be embodied in the following forms, namely: it may be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as "circuit", "module" or "system". In addition, in some embodiments, the present application may also be implemented in the form of a computer program product in one or more computer-readable media, which contain computer-readable program code.

[0090] Any combination of one or more computer-readable media may be used. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0091] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application. On this basis, various substitutions and improvements can be made to the present application, and all of these fall within the protection scope of the present application.

Claims

1. A method for respiratory function training, characterized in that, It includes the following steps: Conduct a preliminary assessment of the respiratory function of the trainee to obtain initial function data; Select a training mode for the trainee based on the initial function data to obtain a primary training mode; Obtain the real-time training result of the trainee based on the primary training mode; Provide real-time feedback on the respiratory function of the trainee according to the real-time training result to obtain a real-time feedback result; Adjust the primary training mode according to the real-time feedback result to obtain a personalized training plan; Train the trainee based on the personalized training plan to obtain a final training result.

2. The breathing function training method according to claim 1, wherein It also includes: Conduct a final assessment of the trainee based on the initial function data and the final training result to obtain final effect data.

3. The breathing function training method according to claim 2, characterized in that, The initial function data includes: Vital capacity, maximum inspiratory pressure value, maximum expiratory pressure value, amplitude value of thoracic cage expansion and contraction, and trunk displacement value.

4. The breathing function training method according to claim 3, wherein, The training mode includes: Resistance training mode, which is used to increase the resistance of inhalation and exhalation through a breathing trainer to improve the strength of the respiratory muscles; Endurance training mode, which is used to improve the endurance of the respiratory muscles through low-resistance breathing training for a set period of time; Interval training mode, which is used to alternate between high-intensity and low-intensity breathing training to simulate the respiratory demands in actual activities; Frequency control training mode, which is used to determine the most effective breathing rhythm by controlling the breathing frequency.

5. The breathing function training method according to claim 4, characterized in that, Use the random forest algorithm to provide real-time feedback on the respiratory function of the trainee to obtain the real-time feedback result.

6. The respiratory function training method according to claim 5, characterized in that, Use the adaptive learning algorithm to adjust the primary training mode to obtain the personalized training plan.

7. A respiratory function training device, characterized in that, It includes: Preliminary assessment module, which is used to conduct a preliminary assessment of the respiratory function of the trainee to obtain initial function data; Training mode module, which is used to select a training mode for the trainee based on the initial function data to obtain a primary training mode; Real-time result module, which is used to obtain the real-time training result of the trainee based on the primary training mode; Real-time feedback module, which is used to provide real-time feedback on the respiratory function of the trainee according to the real-time training result to obtain a real-time feedback result; Mode adjustment module, which is used to adjust the primary training mode according to the real-time feedback result to obtain a personalized training plan; Final result module, which is used to train the trainee based on the personalized training plan to obtain a final training result.

8. The respiratory function training device according to claim 7, characterized in that, It also includes: Final assessment module, which is used to conduct a final assessment of the trainee based on the initial function data and the final training result to obtain final effect data.

9. The respiratory function training device according to claim 8, wherein, It also includes: Chest patch and trunk activity recording patch, where, The chest patch is used to obtain the amplitude value of thoracic cage expansion and contraction and the frequency value; The trunk activity recording patch is used to obtain the trunk displacement value.

10. The respiratory function training device according to claim 9, characterized in that, The training mode module includes: Resistance training unit, which is used to increase the resistance of inhalation and exhalation through a breathing trainer to improve the strength of the respiratory muscles; Endurance training unit, which is used to improve the endurance of the respiratory muscles through low-resistance breathing training for a set period of time; An intermittent training unit for alternating between high-intensity and low-intensity breathing training to simulate the breathing demands during actual activities; A frequency control training unit for determining the most effective breathing rhythm by controlling the breathing frequency.

Images