A breathing training device

Abstract

The present invention proposes a breathing training device, which includes a training module, a vital sign detection module and a control module. The training module includes a filtering and disinfecting component, a quality detection component, a heating component, an oxygen regulating component, a humidity regulating component, a gas regulating chamber, an inhalation control valve, a one-way valve, an exhalation control valve, a training detection component, a trachea and a breathing mask. The vital sign detection module includes an abdominal contraction detection component, a wound monitoring module and an emotion detection module. The present invention can realize the automatic control of the training process and the adaptive adjustment of the training intensity by means of abdominal contraction detection and training status monitoring, and relieve the training pressure of the patient through real-time emotion detection and intelligent emotion regulation.

Description

Technical Field

[0001] The invention relates to the technical field of rehabilitation training, in particular to a breathing training device. Background Art

[0002] Thoracic surgery is a medical specialty that focuses on the study of organs within the chest cavity, primarily the diagnosis and treatment of lesions in the esophagus, lungs, and mediastinum.

[0003] Normal lung function depends on the integrity of lung tissue, healthy respiratory muscles, good compliance of the thorax and lung tissue, good blood perfusion of lung tissue, and negative pressure in the pleural cavity, so that the lungs are in a good state of expansion. Before thoracic surgery, the normal lung respiratory function is limited due to the presence of the patient's original underlying diseases (lung cancer, chronic obstructive pulmonary emphysema, etc.). During thoracic surgery, the patient's chest cavity is opened, and the patient's surgical lung is in an open pneumothorax. The effect of the negative pressure in the pleural cavity on the expansion of the lungs disappears immediately, causing most alveoli to atrophy and reduce alveolar ventilation. In addition, the pulmonary circulation resistance increases, which seriously affects the exchange of gas and blood in the alveoli. At the same time, due to the need to expand the field of view during surgery, the chest wall, bronchi and lung tissue will be more damaged, further leading to weakened respiratory movements. After thoracic surgery, patients are prone to fatigue due to excessive physical exertion. If they feel pain in the incision when breathing or coughing, they will become nervous and fearful, which will limit the movement of the chest respiratory muscles, making the breathing movement shallow and fast, and easily cause pulmonary complications such as atelectasis, hypoxia and hypercapnia. In summary, thoracic surgery takes a long time, has a large trauma surface, and damages the integrity of the chest wall. Postoperative patients are prone to chest tightness and hypoxia, which can cause lung infection and other symptoms, which is not conducive to the patient's recovery. Therefore, effective respiratory function exercises after surgery can improve the patient's lung function and are very necessary.

[0004] Although some breathing training devices have appeared in the prior art, their training methods are relatively mechanical and require patients to perform manual adjustments, and the training effect needs to be improved. Summary of the invention

[0005] In order to solve the technical problems of low automation and poor training effect of breathing training devices in the prior art, the breathing training device proposed in the present invention comprises a training module, a vital sign detection module and a control module, wherein the control module is respectively communicated with the training module and the vital sign detection module, and the training module and the control module are integrated in the same housing;

[0006] The training module comprises a filtering and disinfecting component, a quality inspection component, a heating component, an oxygen regulating component, a humidity regulating component, a gas regulating chamber, an inhalation control valve, a one-way valve, an exhalation control valve, a training and inspection component, a trachea and a breathing mask, wherein the filtering and disinfecting component is arranged at an air inlet, the quality inspection component is arranged between the filtering and disinfecting component and the gas regulating chamber, the heating component is arranged on an inner wall of the gas regulating chamber, the oxygen regulating component and the humidity regulating component are both connected to the gas regulating chamber, the inhalation control valve is arranged at the tail of the gas regulating chamber, the exhalation control valve is arranged at the entrance of the exhalation channel, the one-way valve is arranged at the tail of the exhalation channel, the training and inspection component is arranged between the exhalation control valve and the trachea, and the breathing mask is fixedly connected to the end of the trachea;

[0007] The vital sign detection module includes an abdominal contraction detection component, a wound monitoring module and an emotion detection module.

[0008] Preferably, the quality detection component includes multiple detection groups, each of which includes an oxygen concentration sensor, a temperature sensor and a humidity sensor. The oxygen concentration sensor, the temperature sensor and the humidity sensor are evenly spaced along the cross-section of the air duct, and the multiple detection groups are evenly spaced along the direction of air movement.

[0009] Preferably, the training detection component includes an electromagnet, a rotating shaft, a sleeve, a rotating blade, a gas flow sensor and a gas flow rate sensor. The electromagnets are relatively arranged on the inner wall of the gas pipeline, and the magnetic poles of one end facing each other are opposite in polarity. The rotating shaft is located between the electromagnets, and both ends are fixedly connected to the inner wall of the gas pipeline respectively. The rotating blade is connected to the rotating shaft through the sleeve. The sleeve is sleeved on the rotating shaft and connected to the rotating shaft through a bearing. The rotating blade is magnetic.

[0010] Preferably, the abdominal contraction detection component comprises a tension sensor, a spring and an elastic abdominal belt, and both ends of the tension sensor are connected to the elastic abdominal belt via the spring to determine whether the patient is currently inhaling or exhaling.

[0011] Preferably, the emotion detection module includes an annular structure of adjustable size, which can be worn on the patient's head. The annular structure is provided with signal acquisition electrodes, signal amplification circuits, filtering circuits, AD conversion circuits and signal transmission circuits. The signal acquisition electrodes include three-lead sensing electrodes E1, E2 and E3. E1, E2 and E3 are two-lead electrode input ends, which are connected to self-adhesive electrode sheets attached to the surface of body skin and are respectively attached to the left forehead, right forehead and ears. The collected EEG signals are preprocessed by the signal amplification circuit, filtering circuit and AD conversion circuit, and the processed EEG signals are sent to the control module through the signal transmission circuit.

[0012] Preferably, the control module includes an air quality control component, a training channel control component, an emergency handling component, a breathing training comprehensive control component, an emotion judgment component, a training status monitoring component, a training assistance control component and an emotion regulation component.

[0013] Preferably, the air quality control component is used to receive detection data from the quality detection component, obtain the temperature and humidity of the incoming air through processing, and determine whether the temperature and humidity are within an appropriate range. If they do not meet the requirements, the heating component and / or the humidity adjustment component are controlled to work to improve the air quality.

[0014] Preferably, the training channel control component receives the detection data of the abdominal contraction detection component, and if the detection data is greater than or equal to a reference value, controls the opening of the inhalation control valve and the closing of the exhalation control valve; if the detection data is less than the reference value, controls the opening of the exhalation control valve and the closing of the inhalation control valve.

[0015] Preferably, the emergency handling component is used to receive the vibration data and infrared data of the wound monitoring module, and determine whether abnormal vibrations and abnormal temperature changes occur on the patient's wound surface during the training process based on the monitoring data. If an emergency occurs, medical staff is called immediately and the patient is guided by voice to perform the correct operation.

[0016] Preferably, the breathing training comprehensive control component controls and coordinates the work of the emotion judgment component, the training status monitoring component, the training assistance control component and the emotion regulation component, and mainly includes two functions: 1) the training status monitoring component judges the patient's training status based on the data from the training detection component. When the patient's training is easy, the magnetic field strength in the training detection component is appropriately enhanced to increase the training difficulty. When the patient's training is difficult, the magnetic field strength in the training detection component is reduced, and the oxygen regulation component is controlled to release oxygen, increase the oxygen concentration in the inhaled air, and reduce the training difficulty; 2) the emotion judgment component receives the EEG signal from the emotion detection module, and judges the patient's current emotional state based on the EEG signal. The emotion regulation component obtains suitable music based on the emotional state by calling ChatGPT, and plays it through the voice player to adjust the patient's mood.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1) Fully adjust the air input device to ensure the comfort of breathing training;

[0019] 2) With the help of abdominal contraction detection and training status monitoring, the training process can be automatically controlled and the training intensity can be adaptively adjusted;

[0020] 3) Relieve patients’ training stress through real-time emotion detection and intelligent emotion regulation;

[0021] 4) Ensure the safety of the training process through wound monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a structural diagram of the breathing training device of the present invention;

[0023] Figure 2 It is a structural diagram of the training module of the present invention;

[0024] Figure 3 is a structural diagram of the training detection component of the present invention;

[0025] Figure 4 is a structural diagram of the abdominal contraction detection assembly of the present invention;

[0026] Figure 5 is a structural diagram of the wound monitoring unit of the present invention.

[0027] In the figure, 1-filtration and disinfection component, 2-quality detection component, 3-heating component, 4-oxygen adjustment component, 5-humidity adjustment component, 6-gas adjustment chamber, 7-inhalation control valve, 8-one-way valve, 9-expiration control valve, 10-training detection component, 101, 102-electromagnet, 103-rotating shaft, 104-shaft sleeve, 105-rotating blade, 106-gas flow sensor, 107-gas flow rate sensor, 11-trachea, 12-breathing mask, 13-tension sensor, 14-spring, 15-elastic abdominal belt, 16-position fixing structure, 17-vibration sensor, 18-angle adjustment platform, 19-mini infrared sensor, 20-data wireless transmission circuit. DETAILED DESCRIPTION

[0028] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described with reference to the accompanying drawings.

[0029] like Figure 1 As shown, the breathing training device proposed by the present invention includes a training module, a vital sign detection module and a control module. The control module is respectively communicated with the training module and the vital sign detection module, and the training module and the control module are integrated in the same housing.

[0030] like Figure 2As shown, the training module is mainly used for respiratory training, including a filtering and disinfecting component 1, a quality detection component 2, a heating component 3, an oxygen regulating component 4, a humidity regulating component 5, a gas regulating chamber 6, an inhalation control valve 7, a one-way valve 8, an exhalation control valve 9, a training and detection component 10, a trachea 11 and a breathing mask 12. The filtering and disinfecting component 1 is arranged at the air inlet, and is used to filter and disinfect the inhaled air. The filtering and disinfecting component 1 is a cylindrical structure, which is divided into a filtering chamber and a disinfection chamber. The filtering chamber is filled with activated carbon, and ultraviolet disinfection lamps are evenly arranged on the inner wall of the disinfection chamber. The quality detection component 2 is arranged between the filtering and disinfecting component 1 and the gas regulating chamber 6, and includes an oxygen concentration sensor, a temperature sensor and a humidity sensor. The oxygen concentration sensor, the temperature sensor and the humidity sensor are all arranged on the inner wall of the air duct. In order to improve the detection accuracy, multiple detection groups can be arranged, each detection group includes an oxygen concentration sensor, a temperature sensor and a humidity sensor. The oxygen concentration sensor, the temperature sensor and the humidity sensor are evenly spaced along the cross section of the air duct. The multiple detection groups are evenly spaced along the movement direction of the air. The quality detection component 2 is used to detect the temperature, humidity and oxygen content of the inhaled air, and the data is transmitted to the control module to provide a basis for subsequent adjustment. The heating component 3 is a heating wire arranged on the inner wall of the gas regulating chamber 6, which is used to adjust the temperature of the inhaled air. The oxygen regulating component 4 includes a small compressed oxygen tank and an electric control valve, which is used to adjust the oxygen content in the inhaled air. The small compressed oxygen tank adopts a modular design for easy replacement. The humidity regulating component 5 includes an ultrasonic humidification module and a water vapor vaporization chamber, and the distilled water in the water vapor vaporization chamber is atomized by the ultrasonic humidification module to adjust the humidity of the inhaled air. The oxygen regulating component 4 and the humidity regulating component 5 are both connected to the gas regulating chamber 6. The inhalation control valve 7 is arranged at the tail of the gas regulating chamber 6 to control whether the inhalation channel is open. The one-way valve 8 is arranged at the tail of the exhalation channel to ensure that the gas can only go out but not in during the exhalation process. The exhalation control valve 9 is arranged at the entrance of the exhalation channel to control whether the exhalation channel is open. The training detection component 10 is arranged between the exhalation control valve 9 and the trachea 11 to detect the patient's breathing condition and control the difficulty of the breathing training according to the actual situation of the patient, such as Figure 3As shown, the training detection component 10 includes electromagnets 101 and 102, a rotating shaft 103, a sleeve 104, a rotating blade 105, a gas flow sensor 106 and a gas flow rate sensor 107. The electromagnets 101 and 102 are relatively arranged on the inner wall of the gas pipeline, and the magnetic poles of one end facing each other are opposite. The rotating shaft 103 is located between the electromagnets 101 and 102, and the two ends are fixedly connected to the inner wall of the gas pipeline respectively. The rotating blade 105 is connected to the rotating shaft 103 through the sleeve 104. The sleeve 104 is sleeved on the rotating shaft 103 and connected to the rotating shaft 103 through a bearing. The rotating blade The boundary of 105 is close to the electromagnets 101 and 102, and the inner wall of the gas pipeline, but does not contact the electromagnets 101 and 102, and the inner wall of the gas pipeline. The rotating blade 50 is magnetic. During the breathing training process, the gas can drive the rotating blade 105 to rotate around the rotating shaft 103 to cut the magnetic flux lines generated by the electromagnets 101 and 102. The control module can adjust the magnetic field strength generated by the electromagnets 101 and 102 according to the feedback signals of the gas flow sensor 106 and the gas flow rate sensor 107, thereby adjusting the rotation resistance of the rotating blade 105 to meet the impedance requirements of the patient. The trachea 11 is connected between the training detection component 10 and the breathing mask 12, and the breathing mask 12 is fixedly connected to the end of the trachea 11.

[0031] The vital sign detection module includes an abdominal contraction detection component, a wound monitoring module, and an emotion detection module. Figure 4 As shown, the abdominal contraction detection component includes a high-precision tension sensor 13, a spring 14 and an elastic abdominal belt 15 with an external wireless module. The two ends of the tension sensor 13 are connected to the elastic abdominal belt 15 through the spring 14 to determine whether the patient is currently inhaling or exhaling. During use, the patient first wears the abdominal contraction detection component. Before performing breathing training, the tension sensor performs detection in a non-breathing state, obtains a reference value, and sends it to the control module. Then the patient starts breathing training, and the tension sensor sends the detected data to the control module. When the detection value is greater than the reference value, it means that the patient is inhaling. When the detection value is less than the reference value, it means that the patient is exhaling. The inhalation control valve 7 and the exhalation control valve 9 are controlled according to the judgment result. The wound monitoring module includes multiple wound monitoring units, such as Figure 5As shown, the wound monitoring unit includes a position fixing structure 16, a vibration sensor 17, an angle adjustment platform 18, a micro infrared sensor 19 and a data wireless transmission circuit 20. The vibration sensor 17, the angle adjustment platform 18 and the data wireless transmission circuit 20 are all arranged on the position fixing structure 16. The micro infrared sensor 19 is arranged on the angle adjustment platform 18. The angle adjustment platform 18 can rotate 360 ​​degrees to align the micro infrared sensor 19 with the wound position. During the training process, multiple wound monitoring units are fixed around the wound surface of thoracic surgery to send the monitoring data to the control module. The emotion detection module includes an adjustable ring structure, which is worn on the patient's head. The ring structure is provided with signal acquisition electrodes, signal amplification circuits, filtering circuits, AD conversion circuits and signal transmission circuits. The signal acquisition electrodes include three-lead sensing electrodes E1, E2 and E3. E1, E2 and E3 are two-lead electrode input ends, which are connected to self-adhesive electrode sheets attached to the surface of the skin of the body and are respectively attached to the left forehead, right forehead and ears. The collected EEG signals are preprocessed by the signal amplification circuit, filtering circuit and AD conversion circuit, and the processed EEG signals are sent to the control module through the signal transmission circuit.

[0032] The control module includes an air quality control component, a training channel control component, an emergency handling component, a breathing training comprehensive control component, an emotion judgment component, a training status monitoring component, a training assistance control component and an emotion regulation component. The air quality control component is used to receive the detection data of the temperature sensor and the humidity sensor, and obtain the temperature and humidity of the incoming air through processing. The suitable range of temperature is 22℃-26℃, and the suitable range of humidity is 40%-50%. It is judged whether the temperature and humidity are within the suitable range. If it does not meet the requirements, the heating component 3 and / or the humidity adjustment component 5 are controlled to work to improve the air quality. The training channel control component receives the detection data of the abdominal contraction detection component. If the detection data is greater than or equal to the reference value, the inhalation control valve 7 is controlled to open and the exhalation control valve 9 is closed. If the detection data is less than the reference value, the exhalation control valve 9 is controlled to open and the inhalation control valve 7 is closed. The emergency handling component is used to receive the vibration data and infrared data of the wound monitoring module, and judge whether the patient's wound surface has abnormal vibration during the training process and whether abnormal temperature changes occur based on the monitoring data. If an emergency occurs, the medical staff is called immediately and the patient is guided to perform the correct operation through voice. The breathing training comprehensive control component, emotion judgment component, training status monitoring component, training assistance control component and emotion regulation component cooperate with each other to intelligently control the training process to achieve better training results. The emotion judgment component receives the EEG signal from the emotion detection module, and extracts the characteristic waveform by bandpass filtering, wavelet transform, power spectrum analysis and other methods. Specifically, different bandpass filters are used to process the signal to extract the delta band, theta band, alpha band, beta band and gamma band. At the same time, 5 seconds of data are selected to extract its amplitude, maximum value and minimum value. The DB wavelet is used to realize multi-layer decomposition of the signal, and the AR power spectrum analysis method is used to analyze the power of each layer of the signal. The independent component analysis method is used to reduce the dimension of the extracted characteristic waveform, and the linear discriminant analysis algorithm is used to perform emotion recognition on the characteristic waveform after dimensionality reduction to determine whether the patient is currently in a negative state or a positive state. The training status monitoring component receives data from the gas flow sensor and gas flow rate sensor in the training detection component to determine whether the patient's training state is easy or difficult. The training assist control component controls the oxygen regulating component and the magnetic field strength in the training detection component to achieve adaptive control of the training intensity.The emotion regulation component calls ChatGPT through the API interface provided by OpenAI. The current official API is based on the GPT-3.5-turbo model, which is the fastest, cheapest and most flexible model in the GPT-3.5 series. The emotion regulation component will form a question statement based on the patient's gender, age, occupation and other personal information and current emotional state. For example, "A 35-year-old teacher is currently in a low mood. What kind of music is suitable for him to listen to to make him feel better?" The question statement is provided to ChatGPT to obtain a suitable playlist and play it through the voice player to adjust the patient's mood. The breathing training comprehensive control component controls and coordinates the work of the emotion judgment component, the training status monitoring component, the training assistance control component and the emotion regulation component. It mainly includes two functions: 1) Control the training assistance control component according to the judgment result of the training status monitoring component. Specifically, when the patient is training easily, the magnetic field strength is appropriately increased to increase the training difficulty. When the patient is training difficult, the magnetic field strength is reduced, and the oxygen regulation component is controlled to release oxygen, increase the oxygen concentration in the inhaled air, reduce the training difficulty, and help the patient build confidence; 2) Monitor the patient's mood in real time according to the emotion judgment component, and adjust the music played accordingly through the emotion regulation component.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1) Fully adjust the air input device to ensure the comfort of breathing training;

[0035] 2) With the help of abdominal contraction detection and training status monitoring, the training process can be automatically controlled and the training intensity can be adaptively adjusted;

[0036] 3) Relieve patients’ training stress through real-time emotion detection and intelligent emotion regulation;

[0037] 4) Ensure the safety of the training process through wound monitoring.

[0038] The above disclosure is only the preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the present invention. It should be pointed out that for those skilled in the art, any equivalent changes made to the scheme of the present invention without departing from the design structure and principle of the present invention are considered to be within the protection scope of the present invention.

Claims

1. A breathing training device, characterized in that ,The breathing training device includes a training module, a vital sign detection module and a control module, the control module is respectively connected to the training module and the vital sign detection module for communication, and the training module and the control module are integrated in the same housing; The training module comprises a filtering and disinfecting component, a quality inspection component, a heating component, an oxygen regulating component, a humidity regulating component, a gas regulating chamber, an inhalation control valve, a one-way valve, an exhalation control valve, a training and inspection component, a trachea and a breathing mask, wherein the filtering and disinfecting component is arranged at an air inlet, the quality inspection component is arranged between the filtering and disinfecting component and the gas regulating chamber, the heating component is arranged on an inner wall of the gas regulating chamber, the oxygen regulating component and the humidity regulating component are both connected to the gas regulating chamber, the inhalation control valve is arranged at the tail of the gas regulating chamber, the exhalation control valve is arranged at the entrance of the exhalation channel, the one-way valve is arranged at the tail of the exhalation channel, the training and inspection component is arranged between the exhalation control valve and the trachea, and the breathing mask is fixedly connected to the end of the trachea; The physical sign detection module includes an abdominal contraction detection component, a wound monitoring module and an emotion detection module; The abdominal contraction detection component includes a tension sensor, a spring and an elastic abdominal belt, and the two ends of the tension sensor are connected to the elastic abdominal belt through the spring, and are used to determine whether the patient is currently inhaling or exhaling. When the patient is inhaling, the inhalation control valve is controlled to open and the exhalation control valve is closed. When the patient is exhaling, the exhalation control valve is controlled to open and the inhalation control valve is closed; The wound monitoring module includes a plurality of wound monitoring units, each of which includes a position fixing structure, a vibration sensor, an angle adjustment platform, a micro infrared sensor and a data wireless transmission circuit. The vibration sensor, the angle adjustment platform and the data wireless transmission circuit are all arranged on the position fixing structure. The micro infrared sensor is arranged on the angle adjustment platform. The angle adjustment platform can rotate 360 ​​degrees to align the micro infrared sensor with the wound position. During the training process, a plurality of wound monitoring units are fixed around the wound surface of the thoracic surgery, and the monitoring data is sent to the control module to ensure the safety of the training process. The emotion detection module determines whether the patient is currently in a negative state or a positive state, and adjusts the patient's mood when the patient is in a negative state.

2. The breathing training device according to claim 1, characterized in that: The quality detection component includes multiple detection groups, each of which includes an oxygen concentration sensor, a temperature sensor and a humidity sensor. The oxygen concentration sensor, the temperature sensor and the humidity sensor are evenly spaced along the cross-section of the air duct, and the multiple detection groups are evenly spaced along the direction of air movement.

3. The breathing training device according to claim 1, characterized in that: The training detection component includes an electromagnet, a rotating shaft, a sleeve, a rotating blade, a gas flow sensor and a gas flow rate sensor. The electromagnets are relatively arranged on the inner wall of the gas pipeline, and the magnetic poles of one end facing each other are opposite in polarity. The rotating shaft is located between the electromagnets, and both ends are fixedly connected to the inner wall of the gas pipeline respectively. The rotating blade is connected to the rotating shaft through the sleeve. The sleeve is sleeved on the rotating shaft and connected to the rotating shaft through a bearing. The rotating blade is magnetic.

4. The breathing training device according to claim 1, characterized in that: The emotion detection module includes an annular structure with adjustable size, which can be worn on the patient's head. The annular structure is provided with signal acquisition electrodes, signal amplification circuit, filtering circuit, AD conversion circuit and signal transmission circuit. The signal acquisition electrodes include three-lead sensing electrodes E1, E2 and E3. E1, E2 and E3 are two-lead electrode input ends, which are connected to self-adhesive electrode sheets attached to the surface of body skin and are respectively attached to the left forehead, right forehead and ears. The collected electroencephalogram signals are preprocessed by the signal amplification circuit, filtering circuit and AD conversion circuit, and the processed electroencephalogram signals are sent to the control module through the signal transmission circuit.

5. The breathing training device according to any one of claims 1 to 4, characterized in that: The control module includes an air quality control component, a training channel control component, an emergency handling component, a breathing training comprehensive control component, an emotion judgment component, a training status monitoring component, a training assistance control component and an emotion regulation component.

6. The breathing training device according to claim 5, characterized in that: The air quality control component is used to receive the detection data from the quality detection component, obtain the temperature and humidity of the incoming air through processing, and determine whether the temperature and humidity are within an appropriate range. If they do not meet the requirements, the heating component and / or the humidity adjustment component are controlled to work to improve the air quality.

7. The breathing training device according to claim 5, characterized in that: The training channel control component receives the detection data of the abdominal contraction detection component. If the detection data is greater than or equal to a reference value, the inhalation control valve is controlled to be opened and the exhalation control valve is closed. If the detection data is less than the reference value, the exhalation control valve is controlled to be opened and the inhalation control valve is closed.

8. The breathing training device according to claim 5, characterized in that: The emergency handling component is used to receive the vibration data and infrared data of the wound monitoring module, and determine whether the patient's wound surface has abnormal vibrations or abnormal temperature changes during the training process based on the monitoring data. If an emergency occurs, medical staff will be called immediately and the patient will be guided by voice to perform the correct operation.

9. The breathing training device according to claim 5, characterized in that: The breathing training integrated control component controls and coordinates the work of the emotion judgment component, the training status monitoring component, the training assistance control component and the emotion regulation component, and mainly includes two functions: 1) the training status monitoring component determines the patient's training status based on the data from the training detection component, and when the patient's training is easy, appropriately enhances the magnetic field strength in the training detection component to increase the training difficulty; when the patient's training is difficult, reduces the magnetic field strength in the training detection component, controls the oxygen regulation component to release oxygen, increases the oxygen concentration in the inhaled air, and reduces the training difficulty; 2) The emotion judgment component receives the EEG signal from the emotion detection module, and determines the patient's current emotional state based on the EEG signal. The emotion regulation component obtains appropriate music by calling ChatGPT based on the emotional state, and plays it through the voice player to adjust the patient's mood.

Images