251 results about "Respiratory function" patented technology

The invention discloses a portable respiratory function rehabilitation training device and a method thereof, and belongs to the technical field of medical rehabilitation. The device comprises a data acquisition module which integrates a plurality of micro sensors to acquire respiratory airflow, heart rate, oxyhemoglobin saturation and environmental parameters of a user in real time; the data preprocessing and fusion module is used for cleaning, standardizing and performing time synchronization on the collected original data and fusing the collected original data into a uniform data format; the intelligent analysis module is responsible for performing real-time analysis on the fused data, identifying a breathing mode, evaluating a current health state and predicting a rehabilitation trend; the training scheme generation module is used for dynamically generating and adjusting a personalized breathing training scheme; the real-time feedback and interaction module is used for providing real-time training guidance and progress feedback for the user; the effect evaluation and optimization module is used for evaluating the rehabilitation effect and continuously optimizing a training strategy by using a reinforcement learning algorithm; according to the portable hardware integration module, all modules are integrated into small-sized and low-power-consumption portable equipment.

The invention relates to the technical field of medical diagnosis, and discloses a blood oxygen monitoring system fused with sleep rhythm modeling, which comprises the following steps: identifying a sleep stage conversion moment through a photoelectric volume pulse wave signal, detecting a blood oxygen saturation valley value in a window after conversion, and calculating response lag duration; according to the method, the physiological rhythm is converted into a natural probe for the compensatory ability of the respiratory system, dual diagnosis of sleep staging and respiratory function is realized through a single-path signal, and meanwhile, body movement interference is converted into an observation window for the respiratory stress recovery ability. The diagnosis reliability in a home monitoring scene is remarkably improved, the system completes core analysis at an edge node, and a respiratory function evaluation report which can be directly used for clinical decision making is output.

The invention discloses a multi-source data-based medical temperature-adjusting atomization drug delivery system for the pneumology department, relates to the technical field of medical temperature-adjusting atomization drug delivery, and aims to solve the problems that the atomization effect is poor and the atomization process is not intelligent. By adjusting atomization power in different respiratory cycle stages, monitoring airway abnormity and respiratory fluctuation in real time to correct parameters and adapting temperature control and atomization components as required, medicine waste and airway stimulation can be reduced, variables such as air source fluctuation and liquid medicine viscosity can be coped, atomization stability is guaranteed, administration efficiency and safety are improved, and the method is suitable for large-scale popularization and application. The requirements of patients with weak respiratory functions are met, the basic information unit is linked with the medical history of the patients and the medicine information to determine the safe temperature, the atomization rhythm is matched in combination with the respiratory parameters, temperature deviation caused by information dispersion can be avoided, manual errors are reduced, and the medication safety is improved.

The invention discloses an intelligent nursing body position adjusting method and system based on respiratory function protection, and relates to the technical field of artificial intelligence and medical nursing. The method comprises the steps that body pressure distribution signals and respiratory thoracic impedance signals of a patient are collected in real time, a physiological data sequence is generated through Kalman filtering and wavelet fusion noise reduction, the physiological data sequence is input into a pre-trained deep learning network, and fusion feature vectors and body position performance indexes are output. And if the body position performance index is not lower than a preset threshold value, inputting the fusion feature vector into a pre-trained classification model, and outputting a classification label of the breathing state. A preset parameter optimization mapping table is inquired according to the classification labels, candidate parameter combinations sorted according to priorities are obtained, the parameter group with the highest priority is selected, a multi-motor cooperation instruction is calculated through a feedback control algorithm, and dynamic regulation and control of the bed surface are achieved. The invention aims to realize respiratory function protection and individualized nursing by sensing the respiratory state in real time, intelligently deciding and adjusting parameters, cooperatively executing control and adopting a safety protection mechanism.

Mandibular repositioning devices have a maxillary piece with a right side backmost teeth mold and / or left side backmost teeth mold and a driver flange having an anterior side with a convex curvature protruding from one or both thereof. The devices have a mandibular piece with a protrusive flange extending cranially therefrom positioned to have a posterior side engaged with the anterior side of each driver flange and with a plateau of a preselected height between the base of the protrusive flange and the tooth covering. The posterior side of each protrusive flange has a concave-to-convex curvature from a base of the protrusive flange toward a most cranial point of the protrusive flange and a convex portion of the concave-to convex curvature engages the convex curvature of the driver flange in a rest position. The plateau prevents disconnect between each protrusive flange and a respective driver flange.

The invention relates to the technical field of medical health monitoring and neural networks, and provides a chronic obstructive pulmonary disease patient leaving hospital monitoring system which comprises the steps that multi-source data of a patient is acquired, and the multi-source data at least comprises daily health monitoring data and electronic medical record data; preprocessing and feature extraction are conducted on the multi-source data through a data processing module, health feature data of the patient are obtained, and the health feature data are features related to the chronic obstructive pulmonary disease condition selected from the multi-source data and comprise features based on respiratory functions, features based on lifestyles and behaviors and features based on complications and complications; and features based on drug use; integrating and updating the health feature data through a patient health condition evaluation module, and performing clustering analysis on the integrated and updated real-time health data by adopting a density-based clustering algorithm DBSCAN to obtain a health portrait of the patient; the health portrait is analyzed through a medical large model analysis module, an illness state evaluation result and a health management suggestion are obtained, and a deep learning model designed by combining a convolutional neural network CNN with a multi-modal model architecture of an attention mechanism Transform is used in the medical large model analysis module; remote monitoring, interactive communication and personalized intervention operation are executed through the remote medical intervention module according to the illness state evaluation result.

The invention provides a respiratory function training device and method.The training device comprises an airway model, a respiratory port connected with one end of the airway model, a sensor unit arranged in the airway model and used for monitoring respiratory data, and a resistance adjusting module used for adjusting respiratory resistance; the breathing port is a mouth-nose mask or a mouth-holding mouth; the sensor unit is used for monitoring the airflow speed in the airway model, the pressure in the airway model and the temperature of breathing gas and transmitting the data to the controller, and the controller controls the resistance adjusting module to act according to breathing data so as to adjust the breathing resistance. The sensor unit is arranged in the airway model to collect the breathing data of the patient for monitoring in the training process, the controller controls the resistance adjusting module to act according to the breathing data, the breathing resistance can be automatically adjusted, the resistance adjusting module does not need to be manually adjusted, and more intelligence is achieved.

A respiratory tract drug delivery analysis method based on deep analysis of a lung function curve of a chronic obstructive pulmonary disease comprises the following steps: deeply and accurately analyzing the lung function curve of a patient, preprocessing image information of the lung function curve, then carrying out digital processing, carrying out feature extraction on the preprocessed image by using a convolutional neural network, and obtaining a feature extraction result; analyzing the curve data to obtain multi-type digital characteristic parameters; weight coefficients are distributed for the multiple types of digital characteristic parameters according to the influence degree, the multiple types of digital characteristic parameters and database data are compared and analyzed through a neural network, then the respiratory function of the patient is accurately evaluated, and the corresponding drug curative effect is predicted; according to the respiratory function evaluation effect and the drug prediction effect of the patient, the optimal drug inhalation condition is provided for the patient, and the treatment compliance and the treatment effect of the patient are improved by setting a personalized guidance mode.

The invention belongs to the technical field of biological medicine, and particularly relates to application of corynebacterium casei in preparation of medicine for preventing and treating lung injury. By constructing a radon inhalation-induced lung injury mouse model, after exposure at different radon levels, the weight of a mouse is reduced, the lung coefficient is increased, the tidal volume of the lung, the ventilation volume per minute and the maximum inspiration flow are reduced, the respiratory function is inhibited, the alveolar cavity of the mouse is abnormally expanded, the pulmonary septum is thickened and fractured, and more fibrin exudation is accompanied; the traditional Chinese medicine composition can be used for effectively inhibiting pulmonary fibrosis and lung injury due to obvious inflammatory infiltration beside bronchial tubes, extravasated blood in small blood vessels and lung tissue collagen deposition, and can be used for gavage of corynebacterium casei to effectively inhibit the above phenomena. Therefore, the corynebacterium casei can be used for preventing and treating lung injury, especially lung injury caused by radon exposure.

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

A mobile bodily imaging system for determination of a lung fluid content is provided, comprising: a stepped-frequency radar generator that generates one or more tone and transmits the one or more tone into a chest of the patient; a sparse deconvolution inversion algorithm to detect reflection points indicating tissue interfaces within the patient and create a sparsity-based image; an initial model generated using Markov Chain Monte Carlo or Deep Neural Network estimates; and a final model generated using a neural renderer, wherein the neural renderer is provided with confirmed data that permits the neural renderer to predict the form of the reflection points, wherein the neural renderer creates an image that is compared to the sparsity based image, and wherein the neural renderer creates refined images in a number of iterations and / or based upon a predetermined threshold of a difference between the refined neural renderer image and the sparsity-based image.

The invention is applicable to the technical field of cell engineering, and provides a mitochondria-enhanced dental pulp mesenchymal stem cell and a preparation method and application thereof, and the preparation method comprises the following steps: co-culturing platelet-rich fibrin and dental pulp mesenchymal stem cells by using a Transwell chamber to obtain the mitochondria-enhanced dental pulp mesenchymal stem cell. The platelet-rich fibrin transmits mitochondria to the dental pulp mesenchymal stem cells to improve the regeneration capacity of the dental pulp mesenchymal stem cells. According to the invention, an autologous platelet enrichment, namely platelet-rich fibrin, is used as a mitochondria donor with a respiratory function, mitochondria is continuously transferred to the dental pulp-derived mesenchymal stem cells through a cell bioengineering technology, and the mitochondria-enhanced dental pulp mesenchymal stem cells are constructed and applied to tissue damage repair; the vascular regeneration regulation and control capability of the dental pulp mesenchymal stem cells is obviously improved, and the existing mesenchymal stem cell treatment technology is obviously improved.

The utility model discloses a rehabilitation training device for nursing chronic obstructive pulmonary disease, a pedaling device comprises a mounting frame and a linkage assembly, and the mounting frame is arranged on the other side of a support frame; the linkage assembly is rotatably arranged in the mounting frame; the breathing device comprises a breathing box, a breathing assembly, a hose and a mask, and the breathing box is arranged on one side of the top of the mounting frame; the breathing assembly is arranged in the breathing box, and the breathing assembly is connected with the linkage assembly; one end of the hose is connected with the breathing assembly; the mask is connected with the other end of the hose; the control system comprises a microprocessor, and the microprocessor is arranged in the breathing box and connected with the breathing assembly. Therefore, the device combines pedaling and breathing training, strengthens lower limb strength and improves the breathing function, the linkage assembly ensures synchronization of the pedaling and breathing training, the training effect is improved, the built-in control system monitors breathing in real time, the training intensity is automatically adjusted, safety and comfort are guaranteed, and the training effectiveness and patient compliance are improved.

The invention relates to the technical field of chronic obstructive pulmonary disease rehabilitation medical equipment and services, discloses a chronic obstructive pulmonary disease multi-mode respiratory training system based on behavioral design science, and aims to solve the technical problems that an existing respiratory training product is poor in patient compliance, poor in user experience and lack of personalized behavior guidance. The system comprises a hardware equipment cluster and a software service platform, a multi-dimensional intervention architecture is constructed based on an FBM behavior model, and closed-loop services of respiratory training, drug management, health monitoring and rehabilitation support are realized through an motivation promotion module, a capability optimization module, a multi-sensory prompt module and a data interaction module. The system effectively stimulates the training enthusiasm of a patient, reduces the operation threshold, improves the training and medication compliance, improves the respiratory function and life quality of the patient, reduces the consumption of medical resources, and has remarkable clinical application value and social and economic benefits through deep fusion of behavioral design and a multi-modal rehabilitation technology.

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.

The invention provides an AI-based child respiratory system diagnosis assistance method and system, and relates to the technical field of diagnosis assistance, and the method comprises the steps: collecting multiple layers of breathing sound signals through a bionic sensing array, building an airflow track model, carrying out the signal enhancement, and generating an enhanced breathing sound signal. Generating three-dimensional breathing sound propagation data by using the acoustic reconstruction network, evaluating a breathing function in combination with airflow dynamics and acoustic parameters, tracking abnormal breathing sound and generating a characteristic distribution diagram; symptom evolution analysis is carried out through a medical knowledge inference engine, real-time monitoring data is output, accurate auxiliary diagnosis is achieved, and the diagnosis efficiency and accuracy of children respiratory system diseases are improved.

The invention provides a respiratory function testing device and a metabolic rate calculation method, and relates to the technical field of metabolic rate calculation. Comprising an inspiration branch, an expiration branch and a breathing mask, and the breathing mask is connected with the inspiration branch and the expiration branch through a tee joint. The ends, away from the breathing mask, of the inspiration branch and the expiration branch are connected with a first box body and a second box body respectively, the first box body and the second box body are communicated with the outside, and a first oxygen and carbon dioxide composite detector and a second oxygen and carbon dioxide composite detector are arranged in the first box body and the second box body respectively. The inspiration branch is provided with a first one-way valve and a flow sensor, and the expiration branch is provided with a second one-way valve. According to the device, the breathing process is divided into an inspiration path and an expiration path, related physiological parameters of an individual in the breathing process are measured, accurate and convenient measurement of data is achieved, a metabolic rate calculation model based on the heart rate and the breathing frequency is established, the model is directly applied to calculation of the metabolic rate, and calculation convenience and accuracy are achieved.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

A method and apparatus monitors chronic disease state of a patient. The method may include extracting, in a processor, for each of a plurality of monitoring sessions, a respiratory feature from a respiratory signal indicative of the patient's respiration during the monitoring session, the respiratory signal derived from at least one sensor; and computing, in a processor, a stability measure of the patient for a monitoring session, the stability measure representing an indication of a change point having occurred at the monitoring session in a statistical distribution of the respiratory feature.

The invention provides a cardiac postoperative respiratory function monitoring system and method. The method comprises the steps that photoelectric volume pulse wave signals of a patient during cardiac postoperative breathing are collected through an intelligent optical sensor; extracting a heart rate variability signal of the patient, and determining a quantitative index of respiratory sinus arrhythmia of the patient through the heart rate variability signal; determining the arterial pressure variability of the patient according to the arterial pressure waveform, and fusing the arterial pressure variability and the quantitative index of the respiratory sinus arrhythmia to obtain the cardiopulmonary coupling strength; according to the cardiopulmonary coupling strength and the shallow and fast breathing index of the patient, combining a pre-trained failure prediction model during breathing machine withdrawal, outputting a failure risk value during machine withdrawal of the patient; and outputting a machine withdrawal decision support report of the patient according to the failure risk value and a preset individualized early warning threshold value. According to the scheme, the cardiac postoperative withdrawal risk can be evaluated based on the dynamic cooperation mechanism between the cardiovascular system and the respiratory system.

The present invention belongs to the field of biomedicine technology, and in particular to the application of Corynebacterium casei in the preparation of medicines for preventing and treating lung injury. The present invention constructs a mouse model of lung injury caused by radon inhalation and finds that after exposure to different radon levels, the mice lose weight, increase the lung coefficient, reduce the lung tidal volume, minute ventilation and maximum inspiratory flow, and their respiratory function is inhibited. The alveolar cavity of the mice is abnormally expanded, the lung septum is thickened and fractured, accompanied by more fibrin exudation, obvious inflammatory infiltration appears near the bronchus, congestion occurs in small blood vessels, and collagen deposition in lung tissue can lead to the occurrence of pulmonary fibrosis, causing lung injury. Oral administration of Corynebacterium casei can effectively inhibit the above-mentioned phenomenon. Therefore, Corynebacterium casei can be used for the prevention and treatment of lung injury, especially lung injury caused by radon exposure.

1. Name of the designed product: Non-invasive respirator (HepoRes R2). 2. Use of the designed product: Medical equipment for treating patients with respiratory insufficiency requiring mechanical ventilation. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

A mobile bodily imaging system for determination of a lung fluid content is provided, comprising: a stepped-frequency radar generator that generates one or more tone and transmits the one or more tone into a chest of the patient; a sparse deconvolution inversion algorithm to detect reflection points indicating tissue interfaces within the patient and create a sparsity-based image; an initial model generated using Markov Chain Monte Carlo or Deep Neural Network estimates; and a final model generated using a neural renderer, wherein the neural renderer is provided with confirmed data that permits the neural renderer to predict the form of the reflection points, wherein the neural renderer creates an image that is compared to the sparsitybased image, and wherein the neural renderer creates refined images in a number of iterations and / or based upon a predetermined threshold of a difference between the refined neural renderer image and the sparsity-based image.

The utility model relates to a medical device, and discloses a nasal respiratory function detection device, comprising an adapter, a pressure difference detection mechanism and a flow rate detection mechanism; one end of the adapter is provided with a first mounting part and a second mounting part, and nasal tubes are detachably mounted on the first mounting part and the second mounting part, respectively; the pressure difference detection mechanism is communicated with the first mounting part and the second mounting part, and the flow rate detection mechanism is communicated with the second mounting part; the adapter is rotatably connected to one end of the flow rate detection mechanism, and the flow rate detection mechanism is communicated with the outside; the pressure difference detection mechanism is connected to the flow rate detection mechanism; the pressure difference detection mechanism measures the pressure difference between the front and rear nasal cavities; the flow rate detection device can measure the flow rate of the gas flowing out of the nasal cavity; by setting two nasal tubes to be directly inserted into the nostrils for measurement, adjusting the angle of the nasal tubes inserted into the nostrils and replacing the appropriate nasal tubes, the comfort of use can be adjusted, and when replacing the nostrils to be detected, it is only necessary to rotate the adapter to change the position of the nasal tube, which is hygienic, convenient and easy to operate.

The application discloses a respiratory function detection device with better sampling effect. The respiratory function detection device comprises a shell, an air inlet assembly, a collecting assembly and a control assembly. The air inlet assembly comprises a first air inlet pipe, a second air inlet pipe, a separation net and a blowing nozzle. The first air inlet pipe is connected with the second air inlet pipe. The separation net divides a gas flow channel into a front part and a rear part. The blowing nozzle is sleeved on the first air inlet pipe. The rear end of the first air inlet pipe is provided with a first air outlet. The front end of the second air inlet pipe is provided with a second air outlet. The rear side of the first air inlet pipe is provided with a first air guide pipeline. The first air guide pipeline is communicated with the gas flow channel and the first air outlet. The front side of the second air inlet pipe is provided with a second air guide pipeline. A plurality of second openings are arranged on the second air guide pipeline. The second air guide pipeline is communicated with the gas flow channel and the second air outlet. The collecting assembly is connected with the air inlet assembly. The control assembly is connected with the collecting assembly. Through the above arrangement, the sampling effect of the respiratory function detection device is better, and the measurement precision is higher.

The application discloses a kind of based on multi-mode ultrasound and image respiratory detection method and water pipe type respiratory detection device, method includes: calibration respiratory detection device, ensure that the liquid level and negative pressure in device are normal;According to the indication, exhale detection is carried out, inhaled gas enters liquid seal passage by air inlet pipe, is discharged by air outlet pipe after passing through liquid, and the gas and liquid data in device are collected, the gas and liquid data in device are stored and transmitted to cloud background;According to the indication, inhale detection is carried out, air enters liquid seal passage by air inlet pipe, is inhaled into the body of subject by air outlet pipe after passing through liquid, and the gas and liquid data in device are collected, the gas and liquid data in device are stored and transmitted to cloud background;Respiratory detection parameter is obtained using the gas and liquid data in device, and respiratory function is evaluated according to respiratory detection parameter.The application provides a kind of high-precision, high reliability, anti-interference, easy maintenance respiratory detection device and method.

The utility model discloses a portable multifunctional whistle for respiratory training, which relates to the technical field of respiratory training, and comprises a whistle body, a round hole is arranged at the lower part of the whistle body, an adjusting rod is rotatably connected in the round hole, an adjusting plate is fixedly connected on the surface of the adjusting rod, the adjusting plate is arranged in the whistle body, and the whistle body is fixedly connected with the adjusting rod. A transmission circular plate is connected to the upper end of the adjusting rod, a connecting circular plate is fixedly connected to the side surface of the transmission circular plate, and a transmission rod is fixedly connected to the lower end of the connecting circular plate. According to the portable multifunctional whistle for respiratory training provided by the utility model, the adjusting plate is arranged to rotate in the whistle body, and the rotating angle of the adjusting plate is adjusted by the transmission circular plate, so that the flow of gas capable of passing through the whistle body is adjusted, the respiratory function of a patient is trained, and the airflow is prevented from being too large or too small.

The invention provides multifunctional respiration detection equipment which comprises a machine base and a respiration detection mechanism installed on one side of the machine base, and the respiration detection mechanism comprises an airflow conductor, a respiration flow detection module, a lung dispersion detection module, a respiratory tract resistance detection module and a respiration absorptivity detection module, and the respiration flow detection module, the lung dispersion detection module, the respiratory tract resistance detection module and the respiration absorptivity detection module are connected with the airflow conductor. The airflow conductor comprises a valve body and a plurality of airflow connectors connected to the valve body, valves correspondingly matched with the airflow connectors are arranged in the valve body, and the lung dispersion detection module comprises an airflow supply body and a detection machine; the respiratory flow detection module, the airflow supply body, the detector, the respiratory tract resistance detection module and the respiratory absorption rate detection module are respectively connected to the airflow joint on the valve body, and the corresponding respiratory function detection is realized by switching the air path through the valve. According to the multifunctional respiration detection equipment, the multiple respiration function detection modules are integrated on the same equipment, the structure is simplified, and the requirement for detection of different respiration functions through the same equipment is met.

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

According to the personalized debugging method and system of the intelligent breathing training device, the breathing function evaluation result of the patient, the breathing training control information and the breathing training similarity are obtained according to at least two of the breathing function evaluation result, the breathing training control information and the breathing training similarity; determining a breathing training personalized debugging result of immersive training information provided by the to-be-processed patient in the first virtual reality lung function data, the real-time monitoring element information is used as the occurrence number of the lung function indexes; according to the method, at least three of four different forms of respiratory training information of the number of breathing times of the patient state of each piece of real-time monitoring element information and different influence element information of immersive training information provided by a patient to be processed in virtual reality lung function data are used; and whether the immersive training information provided by the to-be-processed patient is reasonable or not is judged, so that the debugging accuracy and reliability of the respiratory training device can be improved.