Respiratory rehabilitation system based on virtual reality

Abstract

The invention relates to the field of intelligent auxiliary rehabilitation, in particular to a virtual reality-based respiratory rehabilitation system, which comprises a data capture module, a dynamic training monitoring module and an early warning and response module. A data extraction unit is used for acquiring a user respiration examination result and a rehabilitation training category, an environment acquisition unit is used for acquiring training field information, various respiration indexes, heart rate and motion state parameter data of a user in dynamic training are acquired, and an energy supply category is identified; and further calculating the oxygen uptake in unit time and the real-time oxygen uptake ratio, judging the training intensity grade by combining with an individualized evaluation model, and providing feedback through real-time broadcasting. If it is recognized that the training intensity is abnormal or safety risks exist, an early warning mechanism is started, voice and image prompting is achieved, and the user is assisted in adjusting the training state. The system obviously improves the scientificity, safety and individuation level of rehabilitation training, and is suitable for various scenes such as medical treatment, rehabilitation and home training.

Description

Technical Field

[0001] The present invention relates to the field of intelligent assisted rehabilitation, and in particular to a respiratory rehabilitation system based on virtual reality. Background Art

[0002] Obstructive pulmonary disease (OBPD) is a chronic respiratory condition characterized by persistent airflow limitation and dyspnea, often leading to decreased exercise tolerance and a reduced quality of life. Traditional pulmonary rehabilitation training methods, such as walking and cycling, are effective in improving lung function and exercise capacity. However, due to the dullness and lack of interactivity of the training process, patient compliance and participation are generally low. In recent years, the rapid development of virtual reality technology has provided a new solution for pulmonary rehabilitation training. VR technology creates an immersive and interactive virtual environment, allowing patients to experience a richer sensory experience during rehabilitation training, enhancing the fun and participation of the training, thereby improving rehabilitation outcomes and patient compliance. Studies have shown that VR-based pulmonary rehabilitation training not only effectively improves patients' lung function and exercise tolerance, but also reduces anxiety and depression, and enhances their overall quality of life. Therefore, the application of VR technology in respiratory rehabilitation training has become an important development direction in the field of pulmonary rehabilitation.

[0003] Chinese patent publication number: CN114733161A, discloses a rehabilitation training system based on breathing and body movement, including a wearable composite training device, which is equipped with a breathing sensor and a body movement sensor. The breathing sensor and the body movement sensor send the collected data to a data acquisition module, and the data acquisition module sends the received data to a terminal device; the terminal device confirms whether the training movement of the target object meets the preset specification requirements based on the received data, and if not, a prompt message is issued; at the same time, this method mainly relies on sensors to detect whether the training movement meets the preset specifications, and does not involve quantitative evaluation of training intensity or energy consumption. It cannot be personalized according to the physiological differences of different users, resulting in certain limitations in the adaptability and effectiveness of the training plan. Summary of the Invention

[0004] To this end, the present invention provides a respiratory rehabilitation system based on virtual reality to overcome the problems in the prior art of insufficient application environment of augmented reality technology and lack of quantitative evaluation of training intensity or energy consumption, resulting in missing data reflecting the patient's rehabilitation progress.

[0005] To achieve the above objectives, the present invention provides a respiratory rehabilitation system based on virtual reality, comprising:

[0006] A data capture module, which includes a data extraction unit and an environmental data acquisition unit;

[0007] The data extraction unit is used to obtain the user's breathing test results and the corresponding breathing rehabilitation training category;

[0008] The environmental data acquisition unit is used to collect real-time environmental data of the training ground;

[0009] A dynamic training monitoring module, connected to the data capture module, is used to collect the user's real-time training data and determine the energy supply category to obtain energy supply category determination results, including aerobic energy supply results and anaerobic energy supply results;

[0010] a data processing module connected to the dynamic training monitoring module, for obtaining the energy supply category of the real-time dynamic training and the ratio of the oxygen uptake per unit monitoring time to the real-time oxygen uptake corresponding to the energy supply category;

[0011] Determining a corresponding energy consumption interval category and a real-time dynamic training intensity score based on the real-time oxygen uptake ratio, determining whether the score meets the dynamic training standard requirements, and whether to execute a broadcast prompt instruction, and broadcasting corresponding broadcast content based on the broadcast prompt instruction;

[0012] The early warning and response module is connected to the data capture module, the dynamic training monitoring module and the data processing module, and is used to receive the broadcast prompt instruction and broadcast the corresponding broadcast content.

[0013] Furthermore, the environmental data collection unit includes a tracking subunit and an interaction subunit, wherein:

[0014] The tracking subunit is used to collect real-time environmental data of the training ground;

[0015] The interaction subunit is used to obtain and analyze user command actions, including gesture recognition, voice commands, and controller button operations;

[0016] And make real-time interactive adjustments to the virtual training scene according to the command actions.

[0017] Furthermore, the dynamic training monitoring module includes a motion index monitoring unit and a breathing index monitoring unit, wherein:

[0018] The motion index monitoring unit reads the user's motion index data in real time, including trunk motion state data and regional position data, and identifies whether the user's current dynamic training has safety risks based on the trunk motion state data and the regional position data;

[0019] The breathing index monitoring unit is used to determine the energy supply category when it is identified that the user's dynamic training does not pose a safety hazard. The process of determining the energy supply category is to read the user's breathing index data and heart rate data in real time, and determine whether the user's energy supply category is an aerobic category based on the heart rate data.

[0020] Furthermore, the respiratory index monitoring unit includes an aerobic dynamic training monitoring subunit and an anaerobic dynamic training monitoring subunit, wherein:

[0021] The aerobic dynamic training monitoring subunit is used to obtain the real-time exhalation flow rate and real-time exhalation cross-sectional area of the user during dynamic training to determine the oxygen uptake per unit monitoring time;

[0022] The anaerobic dynamic training monitoring subunit is used to send anaerobic dynamic training prompt instructions and corresponding broadcast content when obtaining anaerobic dynamic training results.

[0023] Furthermore, determining the oxygen uptake per unit monitoring time includes,

[0024] The real-time oxygen concentration of the training venue, the user's resting oxygen uptake, and the user's real-time expiratory flow rate and real-time expiratory cross-sectional area are obtained, the expiratory volume within the unit monitoring time is calculated, and the expiratory volume within the unit monitoring time is converted into oxygen uptake and analyzed to obtain the real-time oxygen uptake ratio.

[0025] Furthermore, the oxygen uptake conversion analysis includes:

[0026] Calculate the product of the exhaled volume in the unit monitoring time and the respiratory conversion parameter to obtain the inhaled volume in the unit monitoring time;

[0027] Calculate the product of the inhaled volume and the oxygen ratio parameter within the unit monitoring time to obtain the oxygen uptake within the unit monitoring time;

[0028] Calculating a real-time oxygen uptake ratio, and determining a real-time dynamic training intensity score and a real-time dynamic intensity result corresponding to the real-time oxygen uptake ratio;

[0029] Among them, the real-time oxygen uptake ratio is the ratio of oxygen consumption to oxygen reserve;

[0030] Oxygen consumption is the difference between the oxygen uptake during unit monitoring time and the user's resting oxygen uptake; oxygen reserve is the difference between the user's maximum oxygen uptake and the user's resting oxygen uptake.

[0031] Furthermore, determining the real-time dynamic training intensity score and the real-time dynamic intensity result corresponding to the real-time oxygen uptake ratio includes:

[0032] Based on the dynamic training intensity score evaluation standard, the real-time dynamic training intensity score corresponding to the real-time oxygen uptake ratio is calculated and compared with the standard dynamic training intensity interval value to obtain the training intensity result to determine whether to judge the diaphragm amplitude parameter;

[0033] When the real-time dynamic training intensity score is less than or equal to the minimum value of the standard dynamic training intensity interval, a first training intensity result is obtained;

[0034] When the real-time dynamic training intensity score is within the standard dynamic training intensity range, a second training intensity result is obtained;

[0035] When the real-time dynamic training intensity score is greater than or equal to the maximum value of the standard dynamic training intensity interval, a third training intensity result is obtained.

[0036] Furthermore, the dynamic training intensity score evaluation criteria include:

[0037] Among them, the dynamic training intensity score evaluation criteria include individualized index parameter calculation and dynamic training intensity score calculation;

[0038] Individualization index parameter e u The calculation formula is:

[0039]

[0040] in,

[0041] VO2,max_ref: reference maximum oxygen uptake;

[0042] VO2,max: user's maximum oxygen uptake;

[0043] The calculation formula of dynamic training intensity score s is:

[0044]

[0045] in,

[0046] r: Real-time oxygen uptake ratio.

[0047] Further, determining whether to judge the diaphragm amplitude parameter includes:

[0048] When the second training intensity result is obtained, if the result is within the standard dynamic training intensity range, the diaphragm amplitude parameter is not judged;

[0049] When the first training intensity result is obtained, the maximum diaphragm amplitude is obtained and compared with the first standard diaphragm amplitude.

[0050] When the maximum diaphragm amplitude is greater than or equal to the standard diaphragm amplitude, this dynamic training is effective dynamic training;

[0051] When the maximum diaphragm amplitude is less than the standard diaphragm amplitude, the current dynamic training is invalid, and the duration of the next dynamic training will be shortened based on the time parameter;

[0052] When the third training intensity result is obtained, the maximum diaphragm amplitude and the increase value based on the third standard diaphragm amplitude are obtained;

[0053] If the increase value is positive, the fatigue judgment procedure is executed;

[0054] If the gain value is negative, troubleshoot the tracking unit sensor.

[0055] Furthermore, executing the fatigue determination procedure includes:

[0056] Compare the increase value with the over-fatigue increase value.

[0057] If the increase value is greater than or equal to the over-fatigue increase value, the current exercise training is considered over-fatigue training, and the duration of the next dynamic training will be shortened based on the time parameter.

[0058] If the increase value is less than the over-fatigue increase value, this exercise training is non-over-fatigue training.

[0059] Compared with the existing technology, the beneficial effect of the present invention lies in that, by integrating the data capture module, dynamic training monitoring module, data processing module and early warning response module, the data capture module can comprehensively collect the user's respiratory examination results and site environment information, and distinguish the aerobic and anaerobic energy supply categories in real time to ensure the scientificity and safety of training; the data processing module quantifies the oxygen uptake, accurately evaluates the training intensity, and instantly determines whether the standard is met, providing visual indicators for patients and rehabilitation therapists; the early warning response module will provide timely feedback on the training results through voice or images, helping users to adjust their training status in time and significantly improve the rehabilitation effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 is a schematic diagram of a respiratory rehabilitation system based on virtual reality according to an embodiment of the present invention;

[0061] Figure 2 This is a logic diagram of a dynamic training monitoring module according to an embodiment of the present invention;

[0062] Figure 3 A schematic diagram of a structure for determining a real-time dynamic training intensity score and a real-time dynamic intensity result corresponding to a real-time oxygen uptake ratio according to an embodiment of the present invention;

[0063] Figure 4 This is a structural diagram of determining whether to judge the diaphragm amplitude parameter according to an embodiment of the present invention. DETAILED DESCRIPTION

[0064] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below with reference to embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0065] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0066] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0067] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0068] See also Figure 1 As shown, it is a schematic diagram of a respiratory rehabilitation system based on virtual reality according to an embodiment of the present invention. The present invention provides a respiratory rehabilitation system based on virtual reality, comprising:

[0069] A data capture module, which includes a data extraction unit and an environmental data acquisition unit;

[0070] The data extraction unit is used to obtain the user's breathing test results and the corresponding breathing rehabilitation training category;

[0071] The environmental data acquisition unit is used to collect real-time environmental data of the training ground;

[0072] A dynamic training monitoring module, connected to the data capture module, is used to collect the user's real-time training data and determine the energy supply category to obtain energy supply category determination results, including aerobic energy supply results and anaerobic energy supply results;

[0073] a data processing module connected to the dynamic training monitoring module, for obtaining the energy supply category of the real-time dynamic training and the ratio of the oxygen uptake per unit monitoring time to the real-time oxygen uptake corresponding to the energy supply category;

[0074] Determining a corresponding energy consumption interval category and a real-time dynamic training intensity score based on the real-time oxygen uptake ratio, determining whether the score meets the dynamic training standard requirements, and whether to execute a broadcast prompt instruction, and broadcasting corresponding broadcast content based on the broadcast prompt instruction;

[0075] An early warning and response module, which is connected to the data capture module, the dynamic training monitoring module and the data processing module, and is used to receive the broadcast prompt instruction and broadcast the corresponding broadcast content;

[0076] In this embodiment, the user's respiratory examination results and the corresponding respiratory rehabilitation training category information are matched with a pre-established training database, and the corresponding preset training course is retrieved;

[0077] By integrating the data capture module, dynamic training monitoring module, data processing module and early warning response module, the data capture module can comprehensively collect the user's respiratory examination results and site environment information, and distinguish the aerobic and anaerobic energy supply categories in real time to ensure the scientificity and safety of training; the data processing module quantifies oxygen uptake, accurately evaluates training intensity, and instantly determines whether the standard is met, providing patients with visual indicators; the early warning response module provides timely feedback on training results through voice or images, helping users to adjust their training status in time and significantly improve rehabilitation effects.

[0078] Specifically, the environmental data acquisition unit includes a tracking subunit and an interaction subunit, wherein:

[0079] The tracking subunit is used to collect real-time environmental data of the training ground;

[0080] The interaction subunit is used to obtain and analyze user command actions, including gesture recognition, voice commands, and controller button operations;

[0081] And make real-time interactive adjustments to the virtual training scene according to the command actions.

[0082] See Figure 2 , which is a logic diagram of a dynamic training monitoring module according to an embodiment of the present invention;

[0083] Specifically, the dynamic training monitoring module includes a motion index monitoring unit and a breathing index monitoring unit, wherein:

[0084] The motion index monitoring unit reads the user's motion index data in real time, including trunk motion state data and regional position data, and identifies whether the user's current dynamic training has safety risks based on the trunk motion state data and the regional position data;

[0085] The breathing index monitoring unit is used to determine the energy supply category when it is determined that the user's dynamic training does not pose a safety hazard. The process of determining the energy supply category is to read the user's breathing index data and heart rate data in real time, and determine whether the user's energy supply category is aerobic based on the heart rate data;

[0086] In this embodiment, the trunk motion state data is the recognition result of the user's trunk shape during exercise, and it is determined whether the recognition result is an abnormal trunk shape in the trunk shape database;

[0087] Among them, this judgment method is based on visual recognition to obtain the torso recognition results, and compares them with the standard action database to determine whether it is an abnormal torso shape;

[0088] By collecting visual images of the user's movements, the body's key points are extracted with joints as key points to generate motion vectors. With 80% as the similarity threshold, the motion vectors are compared with the standard motion model. If the similarity is lower than the similarity threshold, it is determined to be an abnormal torso shape.

[0089] Regional location data uses a positioning device to obtain the user's position coordinates in the training space, and combines it with the preset training boundary area to determine whether the user is within the safe range;

[0090] When the trunk motion state data shows an abnormal trunk shape or the user is not within the safe range, the user's current dynamic training has safety risks, and the first broadcast mode is executed, calling the first broadcast content "Be careful", and a continuous voice broadcast of 10 seconds and a display broadcast of 30 seconds are performed;

[0091] If the user's current dynamic training does not pose a safety hazard, the user's real-time heart rate is further obtained and compared with the standard heart rate threshold.

[0092] When the real-time heart rate is greater than or equal to the standard heart rate threshold, the user's energy supply category is anaerobic;

[0093] When the real-time heart rate is lower than the standard heart rate threshold, the user's energy supply category is aerobic;

[0094] This step realizes intelligent judgment of dynamic training safety and energy supply category through comprehensive monitoring of the user's motion status and physiological parameters. On the one hand, through real-time analysis of the trunk motion status and training area position, it effectively identifies whether the user has abnormal trunk shape or out-of-bounds safety hazards, and timely intervenes through broadcast prompts to ensure the safety of the training process. At the same time, after confirming that there are no safety hazards, by comparing the real-time heart rate with the preset heart rate threshold, it accurately distinguishes between aerobic and anaerobic training states, providing a data basis for subsequent energy consumption evaluation and training intensity determination, thereby realizing personalized and scientific optimization of rehabilitation training programs.

[0095] Specifically, the respiratory index monitoring unit includes an aerobic dynamic training monitoring subunit and an anaerobic dynamic training monitoring subunit, wherein:

[0096] The aerobic dynamic training monitoring subunit is used to obtain the real-time exhalation flow rate and real-time exhalation cross-sectional area of the user during dynamic training to determine the oxygen uptake per unit monitoring time;

[0097] The anaerobic dynamic training monitoring subunit is used to send anaerobic dynamic training prompt instructions and corresponding broadcast content when the anaerobic dynamic training results are obtained;

[0098] In this embodiment, the real-time exhalation flow rate is the speed at which the user exhales in real time, reflecting the intensity of breathing. This parameter is calculated by using a micro-differential pressure airflow sensor worn at the user's mouth and nose to collect real-time pressure difference changes, and then calculate the airflow rate.

[0099] The real-time exhalation cross-sectional area is the real-time exhalation cross-sectional area presented by the airflow channel during exhalation, which is calculated based on the edge recognition algorithm of visual recognition technology. The airflow channel includes the oral cavity and nasal cavity.

[0100] When the anaerobic dynamic training monitoring subunit shows anaerobic as the result of the dynamic training, it executes the second announcement mode, calls the second announcement content "Please terminate anaerobic exercise", and performs a 10-second voice announcement and a 30-second display announcement;

[0101] This step triggers a broadcast reminder in the anaerobic state, effectively preventing the respiratory system from being overloaded due to excessive exercise; in the aerobic state, it combines the two key parameters of expiratory flow rate and expiratory cross-sectional area to accurately evaluate the user's breathing condition during training; and uses micro-differential pressure sensors and visual recognition algorithms to capture breathing behavior in real time, improving the accuracy of training data acquisition.

[0102] Specifically, determining the oxygen uptake per unit monitoring time includes:

[0103] Obtaining the real-time oxygen concentration at the training site, the user's resting oxygen uptake, and the user's real-time expiratory flow rate and real-time expiratory cross-sectional area, calculating the expiratory volume per unit monitoring time, performing oxygen uptake conversion analysis on the expiratory volume per unit monitoring time, and obtaining a real-time oxygen uptake ratio;

[0104] In this embodiment, the unit monitoring time is two minutes, and all real-time exhaled volumes within this time period are integrated to obtain the user's exhaled volume during the entire unit monitoring time;

[0105] Among them, the real-time expiratory volume is the product of the real-time expiratory flow rate and the real-time expiratory cross-sectional area;

[0106] This step dynamically obtains the user's actual oxygen intake in real time, improving the accuracy of the assessment of the user's physical condition or training effect; combined with the venue's oxygen concentration, resting oxygen uptake and real-time exhalation data, it reflects the individual's oxygen utilization efficiency in different environments and physiological states, providing accurate data support for scenarios such as personalized health management, sports training or plateau adaptation.

[0107] Specifically, oxygen uptake conversion analysis includes:

[0108] Calculate the product of the exhaled volume in the unit monitoring time and the respiratory conversion parameter to obtain the inhaled volume in the unit monitoring time;

[0109] Calculate the product of the inhaled volume and the oxygen ratio parameter within the unit monitoring time to obtain the oxygen uptake within the unit monitoring time;

[0110] Calculating a real-time oxygen uptake ratio, and determining a real-time dynamic training intensity score and a real-time dynamic intensity result corresponding to the real-time oxygen uptake ratio;

[0111] Among them, the real-time oxygen uptake ratio is the ratio of oxygen consumption to oxygen reserve;

[0112] Oxygen consumption is the difference between the oxygen uptake during the unit monitoring time and the user's resting oxygen uptake; oxygen reserve is the difference between the user's maximum oxygen uptake and the user's resting oxygen uptake;

[0113] In this embodiment, the respiratory conversion parameter is a ratio parameter of the exhaled volume to the inhaled volume, which takes into account the gas exchange efficiency and the relative balance state of breathing during human breathing, and is set to 0.85;

[0114] The oxygen percentage parameter is used to obtain the real-time oxygen concentration of the training site, which is 0.21;

[0115] This step achieves real-time assessment of the user's respiratory metabolic capacity through precise calculation and conversion analysis of oxygen uptake, which can accurately reflect the user's aerobic energy supply status during training and improve the accuracy of data acquisition.

[0116] See Figure 3 As shown, it is a structural diagram of determining the real-time dynamic training intensity score and the real-time dynamic intensity result corresponding to the real-time oxygen uptake ratio according to an embodiment of the present invention;

[0117] Specifically, the real-time dynamic training intensity score and the real-time dynamic intensity result corresponding to the real-time oxygen uptake ratio are determined to include:

[0118] Based on the dynamic training intensity score evaluation standard, the real-time dynamic training intensity score corresponding to the real-time oxygen uptake ratio is calculated and compared with the standard dynamic training intensity interval value to obtain the training intensity result to determine whether to judge the diaphragm amplitude parameter;

[0119] When the real-time dynamic training intensity score is less than or equal to the minimum value of the standard dynamic training intensity interval, a first training intensity result is obtained;

[0120] When the real-time dynamic training intensity score is within the standard dynamic training intensity range, a second training intensity result is obtained;

[0121] When the real-time dynamic training intensity score is greater than or equal to the maximum value of the standard dynamic training intensity interval, a third training intensity result is obtained;

[0122] In this embodiment, the real-time oxygen uptake ratio reflects the degree to which the user utilizes the amount of oxygen actually inhaled per unit time relative to their body's maximum oxygen uptake capacity. It is an important physiological indicator for measuring how close the current training intensity is to the individual's metabolic limit.

[0123] Obtaining a respiratory rehabilitation training category corresponding to a user's respiratory examination result, and determining a preset training course for the respiratory rehabilitation training category;

[0124] Among them, the preset training course includes preset dynamic training duration and preset dynamic training content;

[0125] When S is less than or equal to 30 minutes, the first training intensity result is obtained, and the maximum diaphragm amplitude is obtained to determine whether to adjust the preset dynamic training duration;

[0126] When S is within the open interval of (30, 70), the second training intensity result is obtained, the preset dynamic training duration and the preset dynamic training content are not adjusted, the third broadcast mode is executed, the third broadcast content "This training is valid" is called, and a continuous voice broadcast of 5 seconds and a display broadcast of 10 seconds are performed;

[0127] When S is greater than or equal to 70 points, the third training intensity result is obtained, and the diaphragm amplitude increase is obtained to determine whether to adjust the preset dynamic training content;

[0128] This step intelligently determines whether the user is in a low-, medium-, or high-intensity training state based on the score interval, and accordingly decides whether to introduce parameters such as diaphragm amplitude for further judgment, thereby adjusting the duration or content of the training plan; this method enhances the individual adaptability and accuracy of training, avoiding inefficient training or excessive physical load caused by a mismatch between training intensity and user status.

[0129] Specifically, the dynamic training intensity score evaluation criteria include:

[0130] Among them, the dynamic training intensity score evaluation criteria include individualized index parameter calculation and dynamic training intensity score calculation;

[0131] Individualization index parameter e u The calculation formula is:

[0132]

[0133] in,

[0134] VO2,max_ref: reference maximum oxygen uptake;

[0135] VO2,max: user's maximum oxygen uptake;

[0136] The calculation formula for dynamic training intensity score S is:

[0137]

[0138] in,

[0139] r: real-time oxygen uptake ratio;

[0140] In this embodiment, the reference maximum oxygen uptake is the user's respiratory examination result and the standard maximum oxygen uptake corresponding to the corresponding respiratory rehabilitation training category.

[0141] See Figure 4 As shown, it is a schematic diagram of the structure of determining whether to judge the diaphragm amplitude parameter according to an embodiment of the present invention;

[0142] Specifically, to determine whether to judge the diaphragm amplitude parameters include:

[0143] When the second training intensity result is obtained, if the result is within the standard dynamic training intensity range, the diaphragm amplitude parameter is not judged;

[0144] When the first training intensity result is obtained, the maximum diaphragm amplitude is obtained and compared with the first standard diaphragm amplitude.

[0145] When the maximum diaphragm amplitude is greater than or equal to the standard diaphragm amplitude, this dynamic training is effective dynamic training;

[0146] When the maximum diaphragm amplitude is less than the standard diaphragm amplitude, the current dynamic training is invalid, and the duration of the next dynamic training will be shortened based on the time parameter;

[0147] When the third training intensity result is obtained, the maximum diaphragm amplitude and the increase value based on the third standard diaphragm amplitude are obtained;

[0148] If the increase value is positive, the fatigue judgment procedure is executed;

[0149] If the gain value is negative, troubleshoot the tracking unit sensor;

[0150] In this embodiment, the standard diaphragm amplitude is 5 mm;

[0151] The time parameter is the adjustment coefficient, which is determined according to the actual application data and is set to 0.6;

[0152] The shortened dynamic training duration is the product of the time parameter and the preset dynamic training duration;

[0153] When the maximum diaphragm amplitude is greater than or equal to the standard diaphragm amplitude, the dynamic training is valid, the third broadcast mode is executed, the third broadcast content "This training is valid" is called, and a continuous voice broadcast of 5 seconds and a display broadcast of 10 seconds are performed;

[0154] When the maximum diaphragm amplitude is less than the standard diaphragm amplitude, the current dynamic training is invalid, and the duration of the next dynamic training is shortened based on the time parameter. The fourth broadcast mode is executed, the fourth broadcast content "This training is invalid" is called, and a continuous voice broadcast of 5 seconds and a display broadcast of 10 seconds are performed;

[0155] This step accurately identifies whether the training is effective through the linkage judgment of dynamic training intensity and diaphragm amplitude parameters, and automatically adjusts the training duration or triggers system inspection when the training effect is insufficient or abnormal fluctuations occur, effectively improving the adaptability and safety of the training plan, and ensuring that the respiratory rehabilitation training process is accurate and controllable.

[0156] Specifically, the fatigue judgment procedure includes:

[0157] Compare the increase value with the over-fatigue increase value.

[0158] If the increase value is greater than or equal to the over-fatigue increase value, the current exercise training is considered over-fatigue training, and the duration of the next dynamic training will be shortened based on the time parameter.

[0159] If the increase value is less than the over-fatigue increase value, this exercise training is non-over-fatigue training;

[0160] In this embodiment, the over-fatigue increase value is 1mm according to the actual application situation;

[0161] If the increase value is greater than or equal to the over-fatigue increase value, the current exercise training is effective but over-fatiguing. The fifth broadcast mode is executed, and the fifth broadcast content "This training is effective but over-fatiguing" is called. A continuous voice broadcast of 5 seconds and a display broadcast of 10 seconds are performed. The duration of the next dynamic training is shortened based on the time parameter.

[0162] If the increase value is less than the over-fatigue increase value, this exercise training is a valid training without over-fatigue, and the third broadcast content "This training is valid" is called, and a continuous voice broadcast of 5 seconds and a display broadcast of 10 seconds are performed.

[0163] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0164] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A respiratory rehabilitation system based on virtual reality, characterized in that: include, A data capture module, which includes a data extraction unit and an environmental data acquisition unit; The data extraction unit is used to obtain the user's breathing test results and the corresponding breathing rehabilitation training category; The environmental data acquisition unit is used to collect real-time environmental data of the training ground; A dynamic training monitoring module, connected to the data capture module, is used to collect the user's real-time training data and determine the energy supply category to obtain energy supply category determination results, including aerobic energy supply results and anaerobic energy supply results; a data processing module connected to the dynamic training monitoring module, for obtaining the energy supply category of the real-time dynamic training and the ratio of the oxygen uptake per unit monitoring time to the real-time oxygen uptake corresponding to the energy supply category; Determining a corresponding energy consumption interval category and a real-time dynamic training intensity score based on the real-time oxygen uptake ratio, determining whether the score meets the dynamic training standard requirements, and whether to execute a broadcast prompt instruction, and broadcasting corresponding broadcast content based on the broadcast prompt instruction; The early warning and response module is connected to the data capture module, the dynamic training monitoring module and the data processing module, and is used to receive the broadcast prompt instruction and broadcast the corresponding broadcast content.

2. The respiratory rehabilitation system based on virtual reality according to claim 1, characterized in that: The environmental data acquisition unit includes a tracking subunit and an interaction subunit, wherein: The tracking subunit is used to collect real-time environmental data of the training ground; The interactive sub-unit is used to obtain and analyze the user's command actions, including gesture recognition, voice commands and controller button operations, and to make real-time interactive adjustments to the virtual training scene based on the command actions.

3. The respiratory rehabilitation system based on virtual reality according to claim 1, characterized in that: The dynamic training monitoring module includes a motion index monitoring unit and a respiratory index monitoring unit, wherein: The motion index monitoring unit reads the user's motion index data in real time, including trunk motion state data and regional position data, and identifies whether the user's current dynamic training has safety risks based on the trunk motion state data and the regional position data; The breathing index monitoring unit is used to determine the energy supply category when it is identified that the user's dynamic training does not pose a safety hazard. The process of determining the energy supply category is to read the user's breathing index data and heart rate data in real time, and determine whether the user's energy supply category is an aerobic category based on the heart rate data.

4. The respiratory rehabilitation system based on virtual reality according to claim 3, characterized in that: The respiratory index monitoring unit includes an aerobic dynamic training monitoring subunit and an anaerobic dynamic training monitoring subunit, wherein: The aerobic dynamic training monitoring subunit is used to obtain the real-time exhalation flow rate and real-time exhalation cross-sectional area of the user during dynamic training to determine the oxygen uptake per unit monitoring time; The anaerobic dynamic training monitoring subunit is used to send anaerobic dynamic training prompt instructions and corresponding broadcast content when obtaining anaerobic dynamic training results.

5. The respiratory rehabilitation system based on virtual reality according to claim 4, characterized in that: Determining the oxygen uptake per unit monitoring time includes: The real-time oxygen concentration of the training venue, the user's resting oxygen uptake, and the user's real-time expiratory flow rate and real-time expiratory cross-sectional area are obtained, the expiratory volume within the unit monitoring time is calculated, and the expiratory volume within the unit monitoring time is converted into oxygen uptake and analyzed to obtain the real-time oxygen uptake ratio.

6. The respiratory rehabilitation system based on virtual reality according to claim 5, characterized in that: Oxygen uptake conversion analysis includes: Calculate the product of the exhaled volume in the unit monitoring time and the respiratory conversion parameter to obtain the inhaled volume in the unit monitoring time; Calculate the product of the inhaled volume and the oxygen ratio parameter within the unit monitoring time to obtain the oxygen uptake within the unit monitoring time; Calculating a real-time oxygen uptake ratio, and determining a real-time dynamic training intensity score and a real-time dynamic intensity result corresponding to the real-time oxygen uptake ratio; Among them, the real-time oxygen uptake ratio is the ratio of oxygen consumption to oxygen reserve; Oxygen consumption is the difference between the oxygen uptake during unit monitoring time and the user's resting oxygen uptake; oxygen reserve is the difference between the user's maximum oxygen uptake and the user's resting oxygen uptake.

7. The respiratory rehabilitation system based on virtual reality according to claim 6, characterized in that: Determine the real-time dynamic training intensity score and real-time dynamic intensity results corresponding to the real-time oxygen uptake ratio, including: Based on the dynamic training intensity score evaluation standard, the real-time dynamic training intensity score corresponding to the real-time oxygen uptake ratio is calculated and compared with the standard dynamic training intensity interval value to obtain the training intensity result to determine whether to judge the diaphragm amplitude parameter; When the real-time dynamic training intensity score is less than or equal to the minimum value of the standard dynamic training intensity interval, a first training intensity result is obtained; When the real-time dynamic training intensity score is within the standard dynamic training intensity range, a second training intensity result is obtained; When the real-time dynamic training intensity score is greater than or equal to the maximum value of the standard dynamic training intensity interval, a third training intensity result is obtained.

8. The respiratory rehabilitation system based on virtual reality according to claim 7, characterized in that: Dynamic training intensity score evaluation criteria include: Among them, the dynamic training intensity score evaluation criteria include individualized index parameter calculation and dynamic training intensity score calculation; Individualization index parameter e u The calculation formula is: in, VO2,max_ref: theoretical maximum oxygen uptake; VO2,max: user's maximum oxygen uptake; The calculation formula for dynamic training intensity score S is: in, r: Real-time oxygen uptake ratio.

9. The respiratory rehabilitation system based on virtual reality according to claim 7, characterized in that: To determine whether to judge the diaphragm amplitude parameters include, When the second training intensity result is obtained, if the result is within the standard dynamic training intensity range, the diaphragm amplitude parameter is not judged; When the first training intensity result is obtained, the maximum diaphragm amplitude is obtained and compared with the first standard diaphragm amplitude. When the maximum diaphragm amplitude is greater than or equal to the standard diaphragm amplitude, this dynamic training is effective dynamic training; When the maximum diaphragm amplitude is less than the standard diaphragm amplitude, the current dynamic training is invalid, and the duration of the next dynamic training will be shortened based on the time parameter; When the third training intensity result is obtained, the maximum diaphragm amplitude and the increase value based on the third standard diaphragm amplitude are obtained; If the increase value is positive, the fatigue judgment procedure is executed; If the gain value is negative, troubleshoot the tracking unit sensor.

10. The respiratory rehabilitation system based on virtual reality according to claim 9, characterized in that: The fatigue judgment procedure is carried out including: Compare the increase value with the over-fatigue increase value. If the increase value is greater than or equal to the over-fatigue increase value, the current exercise training is considered over-fatigue training, and the duration of the next dynamic training will be shortened based on the time parameter. If the increase value is less than the over-fatigue increase value, this exercise training is non-over-fatigue training.

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