81 results about "Respiratory muscle" patented technology

The invention discloses a respiration monitoring system based on a flexible strain sensor and a monitoring analysis method, and belongs to the technical field of sensors and respiration monitoring equipment. The respiration monitoring system comprises a flexible strain sensor, a connecting line, a data acquisition card and an upper computer; the flexible strain sensor is a band-aid type flexible strain sensor and can be directly adhered to the skin surface of a human body, and the deformation of muscles related to respiration is monitored and converted into the change of a resistance signal. And the flexible strain sensor is connected with the data acquisition card through a connecting line. And the data acquisition card is connected with the upper computer and is used for transmitting the acquired resistance signals to the upper computer. The quantitative breathing mode judgment standard is provided through dynamic measurement of the respiratory muscle group, and the defect that judgment is mainly conducted through naked eyes of doctors for a long time can be overcome; the relation between the respiratory muscle group deformation and the lung function parameters is associated, and the problem that the actual respiration condition of part of patients does not conform to the detection condition in conventional lung function detection can be solved.

The invention discloses an EIT-based respiratory muscle force and lung compliance closed-loop evaluation system, which is characterized by comprising a multi-frequency EIT injection / sampling unit, a signal processing unit and a signal processing unit, a pressure measurement and synchronization unit; an FPGA clock synchronization triggering unit; an EIT preprocessing unit; a compressed sensing reconstruction unit; a [delta] Z-Pressure fitting unit is adopted; a feature extraction unit; a control decision unit; and the self-adaptive NMES participates in a trend recording unit. According to the method, advanced technologies such as multi-frequency EIT, compressed sensing reconstruction, machine learning fitting, fuzzy + PID mixed control and federated learning are integrated, a new normal form for closed-loop evaluation and optimization of respiratory muscle force and lung compliance is created, and the method has great clinical value for rehabilitation of diseases such as COPD and neuromuscular respiratory failure.

The invention relates to a chin electrical stimulation combined upper airway muscle group training system and method based on bioelectric feedback, and belongs to the field of upper airway muscle group training. Comprising a pressure detection module used for detecting a pressure value in an upper respiratory tract muscle group training process; the myoelectricity acquisition module is used for detecting myoelectricity numerical values in the training process of the upper respiratory tract muscle group; the electrical stimulation output module is used for stimulating partial nerve excitation and muscle contraction of the muscle group of the upper respiratory tract of the trainee; the signal conditioning module is used for carrying out preprocessing and analog-to-digital conversion on signals transmitted among the modules; and the control module is used for controlling signal interaction in the whole training process. And the display interaction terminal is used for interacting with the trainee. Based on bioelectricity feedback, a new individualized electrical stimulation and upper airway muscle group training treatment mode is newly established, accurate electrical stimulation and training intensity are formulated, and fatigue and injury are avoided.

The invention belongs to the technical field of medicine, and particularly relates to a method and application for evaluating the respiratory muscle movement function of an IPF patient based on dynamic MRI. Performing dynamic MRI processing on the to-be-tested person to obtain a lung dynamic MRI image; manually marking and segmenting an end-expiratory image and an end-inspiratory image on the lung dynamic MRI image along the inner edge of the thoracic cavity outline, and checking and correcting; obtaining evaluation parameters of chest wall movement and evaluation parameters of diaphragm movement and form by using the images; measuring parameters are analyzed, and the pulmonary fibrosis degree and pulmonary vessel and chest wall muscle parameters of the HRCT image are quantified; and comparing and statistically analyzing the parameters of different to-be-tested persons so as to evaluate the respiratory muscle movement function of the IPF patient. The dynamic MRI technology is adopted, and a quantitative basis is provided for evaluating the respiratory muscle dysfunction and severity of the IPF patient.

The invention relates to a neonatal respiratory distress risk assessment construction method, which comprises the following steps of: implementing non-intrusive micro-disturbance operation on a neonatal, and detecting respiratory rhythm phase drift, respiratory driving force low-frequency suppression and physiological tremor window change under disturbance so as to identify a pre-instability signal regulated and controlled by a respiratory system; collecting nerve and respiration feedback path data, analyzing the time difference between respiration instruction conduction and actual respiration starting, and identifying an abnormal decoupling phenomenon; based on multiple times of perturbation induction and feedback acquisition results, continuously monitoring the micro-adaptive recovery capability of the respiratory system of the newborn, and identifying the hidden fatigue trend of the respiratory system by judging progressive extension of respiratory frequency recovery time and gradual upward movement of respiratory power consumption; the respiratory redundancy regulation capability in the stress regulation process is monitored, premature intervention and repeated activation of an auxiliary breathing mode or a respiratory muscle group are judged, and the redundancy regulation critical compression phenomenon of a respiratory regulation system is analyzed to complete evaluation construction of the neonatal respiratory distress risk.

The present invention relates to the technical field of intelligent assessment of respiratory rehabilitation, and specifically discloses a respiratory patient rehabilitation assessment system. By real-time monitoring of the differential oscillation frequency and resistance load data of the patient during respiratory training, the system calculates the airway response characteristic value reflecting airway adaptability and the respiratory muscle endurance characteristic value reflecting the functional state of the respiratory muscles, and constructs a comprehensive respiratory rehabilitation characteristic vector input trained random forest model to achieve intelligent assessment of the patient's rehabilitation level. Based on the assessment results, the training parameters are dynamically adjusted to form a closed-loop feedback mechanism, thereby improving the personalization and effectiveness of rehabilitation training. The present invention integrates multidimensional physiological information with machine learning technology, solves the problems of strong subjectivity and poor real-time performance of traditional assessment methods, and provides scientific and intelligent technical support for respiratory rehabilitation.

The present invention provides a training device for training the respiratory muscle group. 【Solution means】In one embodiment, the device includes a hood body 30 covered at a position on the face of the user 9 with respect to the intake and outlet of air. The hood body is provided with an air flow adjustment element 31 for setting the intake resistance, which simulates the occlusion of the airway during the user's inhalation process and brings negative pressure to the airway. The device is used to execute a training step that enables the user to achieve training reference information related to the respiratory function by performing at least one inhalation or exhalation movement under the intake resistance.

A medical device is provided that can be used to determine the optimal parameters for the detection of respiratory activity and the best modality for the modulation of the nervous system and / or respiratory muscles in response. Related systems and algorithms for programming the device, as well as the design parameters, are provided.

The application discloses a lung function, respiratory muscle function determination method, system and device, and relates to the technical field of medical detection.The application comprises: MR image data collection, MR image data preprocessing, forming an image data set by MR post-processing image data; dividing the image data set into a training set, a verification set and a test set according to a ratio of 5:2:1; and constructing a UNet segmentation model and training the model by using the image data set.The application innovatively adopts a deep learning method to post-process chest MRI dynamic images, obtains quantitative indexes capable of comprehensively evaluating diaphragm structure and function of hemodialysis patients, and quantitatively describes the diaphragm function condition of the population, thereby making up for the shortcomings that a lung function instrument cannot early identify patients with relatively light respiratory muscle lesions and lung function in a compensatory stage, cannot indicate the position of respiratory muscle lesions, and cannot monitor the lung function of patients with poor lung function due to the inability to complete the lung function instrument examination.

The utility model is suitable for the technical field of respiratory training, and provides a respiratory training device which comprises a cylinder, supporting legs are detachably installed on the two sides of the cylinder, and supports are arranged at the bottoms of the two supporting legs. The shelf is used for placing the floating ball, and an airflow port is formed in the shelf; the air blowing pipe is fixedly communicated with the bottom of the cylinder body; and the adjusting mechanism is arranged on the cylinder body and is used for adjusting the size of the airflow port. According to the respiratory training device, accurate quantification, flexible regulation and control and efficient and safe respiratory training are achieved, the pertinence and effectiveness of training are improved, sanitation, comfort and safety in the using process are guaranteed, and effective training of respiratory muscles is promoted.

The invention belongs to the technical field of vocal music training, and provides a singing expiration strength stability training system for breath flow control, comprising: a hardware sensing module for collecting airflow dynamic data, respiratory muscle group electrophysiological data and respiratory kinematics data of a user; the data processing control center is used for receiving and processing the airflow dynamic data, the respiratory muscle group electrophysiological data and the respiratory kinematics data to obtain a processing result; the multi-mode feedback module outputs real-time feedback to the user through visual, auditory and tactile multiple channels based on the processing result; according to the method, heterogeneous data of airflow dynamics, electromyography and respiratory kinematics are synchronously collected and fused, song audios are analyzed in combination with an artificial intelligence algorithm to generate a scene-based target curve, and a personalized training baseline is established based on accurate decision and multi-modal sensory collaborative feedback of a fuzzy logic algorithm; the efficient, accurate and personalized improvement of the stability of the exhaling force of singing is realized.

The utility model discloses intelligent respiratory muscle rehabilitation training equipment. The device comprises a device box body, a breathing garment, an air bag, an inflation catheter, an electrode plate and a finger stall, a power switch, an inflation tube jack, a display screen, a signal jack, a power jack and a ventilation opening are arranged outside the host case, a heart rate photoelectric sensor is arranged in the heart rate signal electrode slice, an impedance sensor is arranged in the respiration signal electrode slice, and a photoelectric receptor and a light-emitting diode are arranged in the finger stall; an electric air pump, a microcontroller box, a battery, a battery management system, a built-in electric wire and a built-in gas transmission pipe are arranged in the main machine case, the upper portion of the breathing clothes is chest breathing clothes, the lower portion of the breathing clothes is abdomen breathing clothes, and a chest air bag and an abdomen air bag are arranged in the chest breathing clothes and the abdomen breathing clothes respectively. The chest breathing clothes and the abdomen breathing clothes are connected through an elastic band. The respiratory muscle rehabilitation training device is used for respiratory muscle rehabilitation training, respiratory muscle group training can be controlled in a segmented mode, and comprehensive rehabilitation training of respiratory muscle groups is achieved.

The application relates to the technical field of biomedical engineering, and particularly discloses a closed-loop OSA stimulation control method and device based on multi-modal physiological signal fusion, which comprises a multi-modal physiological signal acquisition module, a control processing module, a stimulation output module and a feedback correction module; by fusing related physiological signals such as respiratory muscle electricity, blood oxygen saturation and snore sound acoustic spectrum characteristics, the blocking risk in the sleep process is evaluated in real time, and the corresponding stimulation time, stimulation channel and stimulation parameter are determined in combination with the breathing phase information and the feedback result after stimulation, so that the precise, real-time and individualized closed-loop control for OSA intervention is realized under the premise of meeting the preset safety constraint. The application can more comprehensively reflect the respiratory state and the upper airway blocking risk in the acquired data, improve the accuracy of OSA related event identification, and determine the stimulation triggering time according to the current respiratory state, thereby improving the matching degree between the stimulation intervention and the actual respiratory demand.

A respiratory function exercise device effectively solves the problems that an existing weight lifting device is prone to falling and has safety risks, and when training intensity is adjusted, a balance weight needs to be found, and operation is troublesome. Comprising an H-shaped mounting frame, mounting plates are fixed to the left side and the right side of the upper end of the mounting frame correspondingly, a plurality of mounting holes are formed in the mounting plates, moving grooves are formed in the left side and the right side of the mounting frame correspondingly, moving blocks are slidably connected into the moving grooves, and T-shaped vertical grooves with downward openings are formed in the two moving blocks correspondingly; a U-shaped weight lifting rod is slidably connected into the two vertical grooves, the rear sides of the two moving grooves are communicated through a transverse groove, the left side and the right side of the transverse groove are each slidably connected with a transverse rod, and friction blocks are fixed to the opposite ends of the two transverse rods respectively; the weight lifting rod is ingenious in structure, the initial state of the weight lifting rod can be adjusted according to the height of a patient, the comfort degree of the patient during weight lifting training is increased, upper limb muscles and respiratory muscles can be trained, the lung function is enhanced, disease recovery of the patient is facilitated, and practicability is high.

The pneumatic respiratory training waistcoat comprises a waistcoat body, the waistcoat body is divided into first air bags and second air bags, the first air bags are arranged on the upper half portion of the waistcoat body in a staggered mode, the second air bags are arranged on the lower half portion of the waistcoat body in an arrayed mode, and the first air bags are connected with a main air pump through first air ports; the second air bag is connected with an auxiliary air pump through a second air port, the thoracic cavity or abdominal cavity volume is changed through air pressure, and respiratory muscles are trained.

Title of the invention: Monitoring of a patient's intercostal muscle activity during assisted ventilation using a patch sensor. The invention relates to a monitoring system (1) for the respiratory muscle activity of a patient (P), in particular intercostal and / or diaphragmatic muscle activity, comprising a patch sensor (10) including mechanomyography measurement means (13) for performing successive measurements of the patient's muscle activity, and a medical ventilator (20) with control means (25) for processing the measurements performed by the mechanomyography measurement means (13). Display means (30) display an MMG curve (31) representing the patient's muscle activity, in particular intercostal and / or diaphragmatic muscle activity, over time (t) obtained from the processed measurements. Abstract figure: Figure 1

The invention provides a wireless respiration monitoring system and method for clinical treatment, and relates to the technical field of respiration test medical treatment, and the method comprises the following steps: collecting respiratory muscle function physiological parameters of a clinical patient; establishing a mathematical evaluation model and a large sample healthy population database, and mapping and outputting a recovery evaluation initial value of the respiratory muscle function; interference item parameters of a clinical patient are collected, and an evaluation correction coefficient is obtained; and adjusting a recovery evaluation initial value of the respiratory muscle function output by the mathematical evaluation model to generate a recovery evaluation correction value. The breathing state quality of the patient after the clinical treatment stage can be predicted in advance through the mathematical evaluation model. In addition, through the collected interference item parameters, the initial value of the recovery evaluation can be calibrated, so that the finally output correction value of the recovery evaluation can more accurately predict the breathing state quality of the patient after the clinical treatment stage. And the accuracy is higher.

The invention discloses a respiratory support system and method with in-vitro negative pressure cooperating with electrical stimulation. The method comprises the steps that a signal detection module collects body surface respiratory muscle electromyography, thoracic posture, thoracico-abdominal deformation and respiratory airflow signals of a patient in real time; the negative pressure ventilation module generates negative pressure outside the thorax of the patient through a thoracic nail, a vacuum pump, a pressure reducing valve and a two-position three-way valve to reduce the pressure of a pleural cavity and pulmonary alveoli; the constant-current electrical stimulation module applies constant-current electrical stimulation to the diaphragm to enhance the contractility of the diaphragm; the control module receives the respiratory physiological signal, judges the respiratory intention of a patient through a built-in respiratory intention recognition algorithm, and controls the negative pressure ventilation and electrical stimulation module to realize triggering of an inspiration phase and an expiration phase and man-machine synchronization; through the synergistic effect of negative pressure ventilation and electrical stimulation, the respiratory support effect and man-machine synchronism are improved, and the device is suitable for adjuvant therapy of respiratory dysfunction patients.

The invention provides an intelligent detection method and system for infant respiratory muscle tension, and the method comprises the steps: building an infant respiratory muscle tension detection system, enabling a plurality of respiratory muscle tension detection patches to be attached to the surface of the infant respiratory muscle, obtaining the initial data of the infant respiratory muscle tension, and transmitting the initial data to an intelligent controller; data analysis and processing: the intelligent controller receives the infant respiratory muscle tension initial data, carries out filtering and denoising processing, calculates and analyzes infant respiratory muscle tension final data, and uploads the infant respiratory muscle tension final data to the cloud platform; after receiving the final data of the infant respiratory muscle tension, the cloud platform sends the final data of the infant respiratory muscle tension to the intelligent terminal to be displayed, meanwhile, the final data of the infant respiratory muscle tension is backed up and stored, and a log is recorded. The infant respiratory muscle tension data acquisition and analysis system has the advantages that accurate acquisition and analysis of infant respiratory muscle tension data can be realized, so that the motion state of infant respiratory muscles is judged, and the accuracy and reliability are high.

The invention discloses a respiratory muscle strength training auxiliary device which comprises a mounting strip made of cloth or elastic cloth; the anti-skid convex blocks are made of a rubber material; the anti-deformation compression structure is arranged on the inner wall and one side of the mounting strip, the anti-deformation compression structure comprises two fixing cloth strips, under the action of the anti-deformation compression structure, the fixing cloth strips can be matched with the adjusting cloth strips and other components, the chest pad and the chest are attached and fixed, and therefore the chest pad is more comfortable to wear. Meanwhile, the abdominal pad is attached and fixed to the abdomen, at the moment, under the action of components such as a fixed cylinder and a sliding round rod, buffering exercise pressure can be conducted in cooperation with a buffering spring, meanwhile, after the buffering spring is damaged, a rectangular clamping block and a rectangular clamping frame can be separated and detached, then replacement can be conducted, mechanical structure buffering is not affected by the body shape, and the practicability is high. Even if the device is damaged, only the buffer component needs to be replaced, and the whole device does not need to be replaced.

Respiratory muscle contraction inactivity during mechanical ventilation (MV) results in diaphragm weakness, which is called ventilator induced diaphragm dysfunction (VIDD). In different hypotheses to interpret the VIDD, one of the hypotheses involves the remodeling of the myoplasmic reticulum (SR) calcium release channel / Ryanodine receptor (RyR1) in the diaphragm as a proximal mechanism of the VIDD. The inventor has developed a novel derivative which can efficiently prevent VIDD in VIDD mouse and pig models. The effect is related to the homogenization of RyR function. Thus, the present invention relates to novel compounds and their use in the treatment of diseases associated with Ryanodine receptor (RyR) dysfunction.

The wearable ultrasonic respiratory muscle monitoring device is characterized in that an ultrasonic patch body comprises a pasting material layer, a matching layer, a sound production layer and a backing layer which are sequentially arranged from bottom to top, a wireless communication piece is arranged on the upper surface of the backing layer, and the matching layer and the sound production layer are the same in shape and area; the pasting material layer and the back lining layer are the same in shape and area, the area of the back lining layer is larger than that of the sound production layer, the paster connecting component comprises circumferential connecting bodies which are sequentially arranged in the circumferential direction of the lower surface of the back lining layer, bonding connecting pieces are arranged at the bottoms of the circumferential connecting bodies, and the pasting material layer is connected with the bonding connecting pieces. And the middle position of the sticking material layer is in fit connection with the matching layer. According to the wearable ultrasonic respiratory muscle monitoring device, the ultrasonic patch body can be pasted and fixed to the respiratory muscle of a patient through the pasting material layer for monitoring, the pasting material layer can be replaced after being used, and cross infection caused by the fact that different patients use the same ultrasonic patch body is avoided.

The auxiliary training device comprises a training cylinder with the top open, an air inlet pipe communicated with an inner cavity of the training cylinder is installed on the lower portion of the side face of the training cylinder, an air outlet pipe communicated with the inner cavity of the training cylinder is installed on the upper portion of the side face of the training cylinder, and a hollow ball is movably arranged in the training cylinder. A protective cover is arranged at the top of the training cylinder, an elastic limiting assembly is arranged on the upper portion of the side face of the training cylinder, and an adjusting assembly for adjusting the sensitivity of the elastic limiting assembly is arranged on the side face of the protective cover. According to the auxiliary training device for rehabilitation treatment of the respiratory disease patient, the whole device is arranged in a single cylinder, the patient can conveniently carry and use the device, resistance exists in movement of the hollow ball in the training process, the breathing intensity of the patient can be conveniently reflected, and meanwhile the patient can adjust the resistance during movement of the hollow ball according to the rehabilitation state to assist rehabilitation training of the patient; respiratory muscle strength can be conveniently increased, and the gas exchange efficiency of a patient is optimized.

The present application relates to the field of virtual reality, in particular to a lung rehabilitation nursing psychological counseling method and system based on virtual reality. The method collects the chest and abdominal girth change signal of the patient, calculates the respiratory flow rate curve through band pass filtering and peak detection algorithm, identifies the inspiration starting point, expiration starting point and breath holding starting point on the respiratory flow rate curve as the respiratory phase turning point. The digital phase-locked loop mechanism is introduced, the respiratory phase turning point is taken as the reference clock signal, the actual presentation time of the virtual visual and auditory stimulation is taken as the output signal of the voltage-controlled oscillator, the rendering pipeline delay of the visual and auditory generation component is adjusted through closed-loop feedback, so that the phase delay of the virtual visual and auditory stimulation is constantly within the preset neuromuscular response threshold. The present application eliminates the phase lag and drift phenomenon between the audio-visual guide signal and the real breathing action of the patient, and enhances the neural drive synchronization of the diaphragm and auxiliary respiratory muscles under the rhythmic audio-visual stimulation.

The utility model provides a respiratory training device with a disinfection structure, and relates to the technical field of respiratory training. Four sets of ground feet are fixed to the lower end of the bottom plate, rubber pads are fixed to the lower ends of the ground feet, two sets of fixing bases are fixed to the upper end of the bottom plate, a back plate is installed on the bottom plate through bolts, connecting bases are installed on the left side and the right side of the back plate through bolts, and partition plates are installed on the two sets of fixing bases through bolts. By operating a motor, an eccentric block rotates, a connecting arm is pulled down, a pressing block extrudes a balloon, oxygen in the balloon can be extruded towards an air inlet pipe, an adjusting screw rod rotates by screwing a knob, so that the position of a movable frame is changed, and when the connecting arm pulls down a hinged arm, the pull-down amplitude of the hinged arm can be controlled; according to the respiratory muscle force training device, the single-time extrusion air inflow is controlled, and the training efficiency and effect can be improved according to the respiratory muscle force and training requirements of a patient.

The invention relates to the technical field of medical equipment, and discloses a respiratory recovery assisting device for a critical medical patient, which comprises a support frame, a movable bottom plate, a connecting plate, a top end fixed on the support frame, a loading and unloading structure arranged on one side of a shell and used for quickly replacing a first exhaust membrane flap valve, and an air guide unit arranged on one side of the shell and used for quickly replacing a second exhaust membrane flap valve. And the flow control structure is arranged on one side of the housing and comprises rotating plates rotationally connected to the interiors of the bearing seats, a transmission shaft fixed between the rotating plates and a guide assembly arranged on one sides of the rotating plates. By rotating the adjusting screw rod and adjusting and changing the contact position of the positioning rod and the rotating plate, the reciprocating motion stroke of the moving piston is further changed, so that the breathing flux adjusting function of the device is achieved, the breathing flux is adjusted according to the physiological difference of patients and real-time illness state dynamics, effective ventilation is maintained, and meanwhile after the illness state is improved, the breathing flux is adjusted. Flux is gradually reduced, and the respiratory muscle function is exercised.

The invention discloses cleaning equipment for internal and surgical nursing. The cleaning equipment comprises a testing and evaluating assembly, an impedance breathing structure, a cleaning machine main body, a main body conveying pipe, a testing cover and an auxiliary connecting pipe. The invention belongs to the technical field of nursing aids for internal and surgical department, and provides an impedance respiration structure and a test evaluation assembly, which can effectively train the lung function and respiratory muscle force of a user, and is suitable for users with different training requirements; the training effect can be quantified according to the lighting conditions of a plurality of groups of indicator lamps, so that a user can record the training result of each time, a patient can be stimulated to break through the training results of previous days and is helped to move step by step, the training effect and interestingness are improved, and the training effect and interestingness are improved while the oral cavity is automatically cleaned. And simple evaluation of the health condition of the patient is realized.

This application discloses a method and apparatus for regulating expiratory switching. The method includes: acquiring the user's proximal pressure and the total airflow within the target ventilator during a preset time period of the expiratory phase of the respiratory cycle; determining a predicted user flow rate based on the user's proximal pressure and total airflow; determining a predicted respiratory muscle exertion value based on the predicted user's proximal pressure and user flow rate; and controlling the target ventilator to switch from the inspiratory phase to the expiratory phase in response to the predicted respiratory muscle exertion value meeting a preset condition. Using the user's respiratory muscle exertion as the determination information can accurately reflect the user's voluntary intention to switch between inspiratory and expiratory phases, improving the human-ventilator synchronization during expiratory switching.

The invention relates to a breathing physical therapy device, belongs to the technical field of medical rehabilitation equipment, and solves the problem that existing breathing training equipment cannot intelligently adjust resistance according to the real-time breathing effort degree of a user. The device comprises a mouth-nose mask, an airflow resistance adjusting valve, a diaphragm myoelectricity sensor and a pressure difference sensor, a control module monitors the pressure difference rising rate and the current myoelectricity integral value in real time in the treatment stage based on a myoelectricity integral reference value calculated in the calibration stage, and accordingly resistance adjusting instructions including resistance increasing, resistance reducing and emergency resistance reducing instructions are generated; and an instruction priority and execution logic are set, so that timely intervention is ensured when the breathing of the user is abnormal. The device is mainly used for respiratory muscle strength training and rehabilitation treatment of patients with chronic respiratory diseases, and the training safety and the individuation level can be effectively improved.

The invention discloses a taVNS and six-character table combined slow respiration training method, which comprises the following steps of: synchronously acquiring electrocardio and electromyographic signals of a user, analyzing heart rate variability (HRV) and respiratory electromyographic characteristics in real time, and dynamically judging a respiratory phase; parameters and target spots of ear vagus nerve stimulation (taVNS) are adjusted in a self-adaptive mode based on a breathing phase-target region mapping table, and closed-loop control is formed in combination with six-character table breathing training. The defects that a traditional open-loop taVNS system is fixed in stimulation parameter and poor in adaptability are overcome.