103 results about "Cardiopulmonary function" patented technology

The invention relates to the technical field of medical rehabilitation monitoring, in particular to a rehabilitation cloud platform system for cardiopulmonary function monitoring. According to the system, an intelligent monitoring terminal collects physiological data; the cloud computing platform adopts wavelet threshold denoising and an index moving average method to remove noise, combines dynamic time warping to achieve multi-physiological signal time sequence alignment, constructs a double-flow model, generates a health state index and a comprehensive health risk index, introduces a multi-scale branch and differential attention mechanism, and achieves the multi-scale health state index and the comprehensive health risk index. High-precision anomaly detection is realized through prediction deviation analysis, multi-target reinforcement learning is adopted to balance health improvement and risk control, and a personalized training scheme is generated; the remote medical support module supports a doctor to monitor patient data in real time and intervene in an adjustment scheme; the user interaction end provides a real-time monitoring data visualization and individuation rehabilitation plan. Through multi-modal data fusion, time sequence synchronous optimization and adaptive reinforcement learning, accurate monitoring, dynamic rehabilitation optimization and remote medical collaboration are realized.

The invention belongs to the technical field of intelligent rehabilitation equipment control, and relates to a multi-parameter feedback regulation and control method for postoperative lung function rehabilitation training, which comprises the following steps: acquiring an electrocardiosignal, a respiration signal and a limb movement signal of a patient; identifying a heart rate fluctuation form of the electrocardiosignal to generate an abnormal fluctuation time period, and analyzing a time difference between an inspiration phase and an expiration phase of the respiratory signal to generate a starting point of respiratory rhythm disorder; judging a cardiopulmonary risk level; the exercise intensity of rehabilitation training equipment is automatically adjusted based on the cardiopulmonary risk level, and meanwhile a regulation and control mode is dynamically selected according to the proportion change of the chest fluctuation amplitude and the abdomen fluctuation amplitude; when the heart rate recovery rate is lower than a preset reference and the respiratory rhythm stabilization time exceeds a critical value, gradually improving the exercise intensity; calculating a motion intensity correction coefficient and triggering a motion posture correction instruction; and generating a rating report containing the cardiopulmonary function fitness. According to the invention, the problem of lack of comprehensive quantitative evaluation of rehabilitation efficiency in the prior art is solved.

The invention relates to the technical field of medical instruments, and discloses an intelligent device for monitoring the cardio-pulmonary function of a heart failure patient, the intelligent device comprises a multi-mode sensor module, an AI analysis module, a biological feedback module and a wearable carrier, the multi-mode sensor module is used for collecting heart rate, respiratory rate, oxyhemoglobin saturation and body movement data in real time, and the AI analysis module is used for analyzing the heart rate, the respiratory rate, the oxyhemoglobin saturation and the body movement data; monitoring modes can be dynamically switched in rest, motion and sleep scenes; the AI analysis module is used for detecting abnormity based on real-time data and predicting a heart failure deterioration risk in combination with historical data; and the biological feedback module is used for providing personalized intervention in a vibration or audio mode according to the analysis result. The heart rate, the respiration rate, the blood oxygen saturation and the body movement data are collected at the same time through the multi-mode sensor module, sleep apnea or periodic respiration is recognized in combination with the AI analysis module, the defect of separation of cardiopulmonary function monitoring and sleep mode analysis in the prior art is overcome, and therefore early intervention and treatment adjustment are supported.

The invention relates to the technical field of health management and medical information, and discloses an all-dimensional intelligent cardiopulmonary health management system and method and electronic equipment, and the system comprises a biological sensing module which is used for continuously collecting key physiological indexes of the heart rate, the oxyhemoglobin saturation, the respiratory rate and the motion state of a user; the data processing module is used for storing the collected physiological data and historical exercise records of the user through a central database of a cloud computing platform; the deep learning analysis module is a prediction model built based on a deep learning framework and is used for analyzing the physiological data of the user and generating a personalized exercise plan; the real-time monitoring module is used for detecting the physiological state of the user and automatically adjusting the exercise intensity or type when the physiological state exceeds a preset threshold value. The technical scheme that the multi-mode biosensor is combined with the real-time monitoring module is adopted, and the technical effect of comprehensively monitoring the cardiopulmonary function state of the user in real time is achieved.

The invention discloses a digital human identity anchoring system and an immortal vector construction method, which are characterized in that multi-modal biological characteristics of a natural person are collected in real time through an implantable sensor, and conscious behavior fingerprints are extracted in combination with a brain-computer interface. The system adopts a double-chain block chain architecture, a life chain stores an irreversible biological reference, a consciousness chain records evolutionary thinking characteristics, and real-time binding of an entity and a digital human is ensured through quantum entanglement verification. The innovation points comprise: 1) a metabolism compensation model for dynamically correcting biological characteristic drift caused by age increase; 2) a consciousness continuity proving algorithm: verifying a causal relationship between digital consciousness and native thinking by adopting Granger causal test; 3) a death determination protocol, fusing cardiopulmonary functions and brain metabolism indexes to trigger heritage inheritance, the system realizes nanosecond quantum verification and millisecond consciousness comparison, meets the protection requirement of the ninth special data of GDPR through ISO / IEC 30107-3 in vivo detection authentication, and provides a trusted identity basis for digital human agent financial legal affairs and immortal consciousness.

The invention discloses a multi-index real-time monitoring exercise cardiopulmonary test method and system, and relates to the technical field of cardiopulmonary function tests.The method comprises the steps that physiological parameters are synchronously collected through a plurality of high-precision physiological sensors, and time synchronization is conducted; performing wavelet transformation on each physiological parameter, extracting multi-scale features, reconstructing normalized physiological parameters, forming a multi-dimensional physiological state vector, performing ventilation compensation point and anaerobic threshold identification, and calculating a plurality of load indexes; and performing standardization processing on the plurality of load indexes, calculating a comprehensive health score, and generating a personalized health report according to the ventilation compensation point, the anaerobic threshold, the comprehensive health score and the time evolution curve. Accurate multi-dimensional data analysis and feature extraction are achieved through multi-scale wavelet transformation and normalization processing, key physiological mutational points are efficiently recognized in combination with dynamic time warping and a multi-dimensional CUSUM algorithm, a personalized health report is generated, real-time health assessment, trend analysis and training suggestions are provided, exercise performance optimization is helped, and exercise injuries are prevented.

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 discloses a cardiac postoperative rehabilitation training device. Comprising a base, a bearing chair arranged on the base and used for bearing a patient, a massage mechanism arranged on the bearing chair, an upper limb lifting exercise mechanism and an upper limb horizontal extension exercise mechanism which are arranged on one side of the bearing chair, and a leg pedaling type exercise mechanism arranged in front of the bearing chair and connected with the base. The bearing chair comprises an angle-adjustable backrest, the backrest is connected with a first driving unit used for controlling the inclination angle of the backrest, by arranging the multiple exercise mechanisms, a patient can conduct comprehensive training of multiple actions, limb blood circulation is effectively promoted, the cardiopulmonary function is increased, and the patient can conduct comprehensive training of multiple actions; the early rehabilitation of the patient after the cardiac surgery is facilitated; various training actions are combined, the body of a patient can be exercised more comprehensively, the situation that the rehabilitation training effect is poor due to the single training action is avoided, and the rehabilitation training effect is improved.

The invention relates to the technical field of medical monitoring, in particular to a patient cardiopulmonary function monitoring system and method and a computer readable storage medium, the monitoring system comprises a breathing machine, a pulmonary membrane oxygenation device, a first monitoring module and a second monitoring module, and the breathing machine comprises a breathing circuit, a processing module and a display module; the pulmonary membrane oxygenation equipment comprises an oxygenator; the first monitoring module is used for monitoring carbon dioxide exhaling parameters in gas exhaled by a patient in real time; the second monitoring module is used for monitoring carbon dioxide discharge parameters in gas discharged by the oxygenator in real time. By means of real-time monitoring of exhaling parameters of carbon dioxide in gas exhaled by a patient and discharging parameters of carbon dioxide in gas discharged by an oxygenator, continuous monitoring of the change condition of the cardiac function and / or the lung function of the patient is achieved, oxygen consumption of the patient can be truly reflected, parameter adjustment of a breathing machine and lung membrane oxygenation equipment is facilitated, and the patient experience is improved. And guidance is provided for turning of the pulmonary membrane oxygenation equipment.

The invention discloses a multi-modal intelligent skin patch for multi-scene cardiopulmonary function monitoring and a use method thereof. The multi-modal intelligent skin patch comprises a layered structure body, a flexible circuit board, a multi-modal sensing assembly, a power management assembly and a wireless communication module. The layered structure body comprises an upper Ecoflex material layer, a lower Ecoflex material layer, a lithium battery and a wireless charging coil, wherein the lithium battery and the wireless charging coil are packaged between the two Ecoflex material layers. A layered structure in which the upper Ecoflex material layer and the lower Ecoflex material layer package the lithium battery and the wireless charging coil is adopted, and a polyimide flexible circuit board and a double-bridge snake-shaped structure sensing wire are combined, so that the equipment is endowed with excellent tensile tolerance and skin fitting property; in cooperation with the sweat-proof adhesiveness of the 3M2477P medical silica gel double-faced adhesive tape and the high conductivity of the high-adhesiveness conductive hydrogel layer, the problems of electrode falling and signal distortion caused by sweating and skin stretching in violent activities such as high-intensity intermittent movement are fundamentally solved, and stable acquisition of electrocardio, PPG and respiratory wave signals is ensured.

The invention relates to the technical field of postoperative rehabilitation equipment, and provides a cardiovascular postoperative rehabilitation trainer which comprises a bed body, an upper limb training position, a lower limb training position and a bed board, the upper limb training position and the lower limb training position are arranged on the two opposite sides of the bed body, and the bed board is slidably connected to the portion, between the upper limb training position and the lower limb training position, of the bearing surface of the bed body; the upper limb training part is arranged at the upper limb training position, the upper limb training part comprises a counterweight assembly and a first driving assembly, the first driving assembly is connected to the bed board and the counterweight assembly, and the bed board drives the counterweight assembly to move through the first driving assembly; the lower limb training part is arranged at the lower limb training position, the lower limb training part comprises a pedal, a movement assembly and a resistance piece, the pedal is connected to the movement assembly and used for driving the movement assembly to move, and the resistance piece is used for providing resistance in the movement process of the movement assembly. A patient drives the equipment to work through self strength, the effect of exercising the cardiopulmonary function is achieved, meanwhile, the training intensity can be adjusted, and use is more flexible.

The invention discloses a method for realizing exercise health management based on an individualized cardiopulmonary function digital twinborn model. According to the method, CPET (cardiopulmonary function exercise test) data of a user is acquired as a reference and is input into a cardiopulmonary function digital twinborn model, so that the individual cardiopulmonary function limit and sudden acute disease risk prediction of the user is generated, and the purpose of individualized exercise health management is achieved. According to the technical scheme, firstly, a partial differential equation set is adopted to describe an oxygen metabolism chain of respiration-circulation-functional organs, then a digital twinning neural network is used for fitting the metabolism chain, individual characteristics and exercise load parameters are input, and an oxygen metabolism result and human body internal functional characteristic parameters are output; furthermore, the output of the digital twin network is input to the prediction network, so that the cardiovascular disease risk prediction is realized. The generated personalized cardiopulmonary function digital twin model provides a powerful tool for developing more scientific and efficient physical training and early intervention and precise prevention of diseases.

1. Name of the product of this design: Breathing Trainer (1‑2). 2. Purpose of the product of this design: A breathing trainer used to exercise cardiopulmonary function. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 Stereoscopic Figure 1. 5. Designate Design 1 as the base design.

The invention provides a system and a method for drawing a ventricular contour and calculating ejection fraction by medical color Doppler ultrasound equipment. The system comprises an image acquisition and caching module for acquiring a plurality of frames of B-mode ventricular images; a background noise and ventricle distinguishing module obtains background noise and ventricle structure images; the contour boundary determination module obtains ventricle contour boundary points; the contour coordinate category distinguishing module performs category distinguishing on the ventricular contour boundary points and determines the position of the valve according to a category distinguishing result; a valve boundary point determination module determines a valve boundary point; the calculation module is used for calculating ventricular volume and ejection fraction; the display module is used for displaying the target ventricular image, the ventricular volume and the ejection fraction; according to the method, the requirement for noise can be effectively met, the ventricular contour can be accurately determined, the accuracy and efficiency of judging the cardio-pulmonary function can be guaranteed, and meanwhile the real-time state can be known more visually and efficiently through visual image superposition and numerical value display.

Disclosed are an electronic device and a wearable device for providing a cardiopulmonary ability measurement function, and operation methods thereof. The operation method of an electronic device comprises the operations of: collecting, from a wearable device worn on the body of a user, sensor data measured by one or more sensors of the wearable device during a measurement period for measuring cardiopulmonary ability of the user; on the basis of the sensor data, determining exercise indicators of the user including an exercise speed of the user and a leg angle of the user; determining a first exercise evaluation indicator corresponding to an exercise energy value of the user on the basis of the exercise speed of the user and the leg angle of the user; determining a second exercise evaluation indicator corresponding to an exercise repetition count of the user during the measurement period on the basis of the leg angle of the user; determining a third exercise evaluation indicator corresponding to an exercise performance duration or a cumulative exercise repetition count of the user until the exercise speed of the user deviates from a target exercise speed range; and determining measurement result data for the cardiopulmonary ability of the user on the basis of the first exercise evaluation indicator, the second exercise evaluation indicator, and the third exercise evaluation indicator.

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 application relates to the technical field of air ducts and discloses an air duct with negative ion ionization, which comprises a pipe body butting against an air outlet for discharging air into a room, the pipe body is provided with a pipe channel penetrating through the front and back of the pipe body, the two ends of the pipe body are provided with air inlet ports and air outlet ports, the middle part of the pipe channel is provided with an ionization section, and the pipe body is provided with an air ionizer; the air ionizer is provided with two ionization needles for high-voltage ionization of air; the ionization needles are respectively connected with ionization nets made of metal, the ionization nets are arranged along the cross-section direction of the pipe channel, the two ionization nets are arranged at intervals, and an ionization interval is formed. The air in the pipe channel is ionized through relative discharge of the two ionization needles, air negative ions are formed, the ionization area is increased through the ionization nets, and a large amount of air negative ions are formed in the ionization interval; the air blown out by the air outlet is effectively purified, and the air negative ions have the advantages of adsorbing dust, purifying air, improving heart and lung functions, promoting human metabolism, improving sleep quality and the like.

The present application relates to the cross technical field of speech signal processing, respiratory physiological monitoring and artificial intelligence, and specifically discloses a respiratory-speech pause signal analysis system and method. The present application synchronously collects speech and respiratory signals, extracts language-adapted pause parameters and physiological indexes, performs time sequence alignment and correlation analysis, and then fuses a prediction model and a true-false recognition model for intelligent analysis, thereby solving the problems that traditional heart-lung function detection relies on professional equipment and cannot be remotely and non-contactly monitored, and that existing speech analysis lacks a physiological coupling mechanism, leading to the inability to identify synthetic speech and insufficient cross-language adaptation, and realizing the dual ability improvement of non-contact respiratory physiological state evaluation and speech fraud recognition.

The invention provides a traditional Chinese medicine composition for treating pulmonary arterial hypertension right heart failure, which is characterized in that the traditional Chinese medicine composition is prepared from the following raw material medicines: safflower carthamus, polygonum cuspidatum, semen lepidii, white mulberry root-bark and astragalus membranaceus. Various components in the traditional Chinese medicine composition are scientific in compatibility and play a synergistic effect, the cardio-pulmonary function of a right heart failure rat suffering from pulmonary arterial hypertension can be improved, the hemodynamics of pulmonary artery can be improved, the pathological damage and fibrosis degree of cardiac muscle tissue can be relieved, the inflammation level can be reduced, and the remarkable treatment effect on the right heart failure suffering from pulmonary arterial hypertension can be achieved; the clinical application value is higher, and the medical application prospect is wide.

The present invention belongs to the technical field of cardiopulmonary function detection, and specifically relates to a high-precision, sports-type, non-invasive portable cardiopulmonary function parameter measurement device, comprising a host computer and a slave computer, the slave computer comprising an electrocardiogram detection module, a chest impedance detection module, a microcontroller and a wireless communication module, the chest impedance detection module comprising a signal generator, a filter, a constant current source, an instrument amplifier, a common-mode filter, a detection circuit, a high-pass filter, a high-precision signal amplifier, a differential circuit and a voltage raising module; the slave computer also comprises an acceleration sensor, and the device ensures that electrocardiogram signals and chest impedance signals can be accurately detected even in a motion state, greatly reduces noise interference caused by motion, improves the recognition of data feature points by the host computer algorithm, makes the detection data more accurate, and fills the gap in the domestic non-invasive cardiopulmonary related equipment for exercise cardiopulmonary function.

The brooding cage device comprises a cage frame, a bottom frame plate is fixedly connected to the lower end of the cage frame, a top plate is fixedly connected to the upper portion of the inner surface of the cage frame, and a leakage net is fixedly connected to the portion, located above the bottom frame plate, of the lower portion of the inner surface of the cage frame. A feeding conversion assembly is arranged in the middle of the upper end of the bottom frame plate, and an environment simulation assembly is arranged on the inner surface of the bottom frame plate and the inner surface of the cage frame. According to the brooding cage device for laying hen breeding, the conversion feeding assembly is arranged, and the feeding mode that the positions of left and right feed and water sources are alternately changed is adopted, so that chicks need to run left and right in the cage frame to obtain food and water during feeding every time, movement of the chicks is promoted, the leg muscle strength and the cardiopulmonary function of the chicks are enhanced, and the chick breeding efficiency is improved. Frequent activities can stimulate metabolism of the chicks, promote healthy development of digestive systems of the chicks and improve the conversion rate and absorption efficiency of the feed.

The invention discloses a user personalized cardiopulmonary function evaluation method based on a VR fitness bicycle, and belongs to the technical field of exercise health management, and the method comprises the following steps: S1, a user selects a cardiopulmonary function evaluation module in a system, and prepares to start a test; s2, preparing questionnaire data according to the gender, age, height, weight and physical activity of the user, and performing virtual rider matching; s3, after the test is started, the user stares at a matched virtual target rider in the system along with the VR bicycle test program, and bicycle riding is carried out for 12 minutes, so that the user can ride the farthest distance as much as possible; s4, acquiring riding speed, riding distance and riding output power data in the exercise process of the user; s5, the maximum oxygen uptake is calculated according to a formula obtained through calculation of a large number of tests in the early stage, and the cardio-pulmonary function is evaluated; according to the method, a professional sports laboratory or a medical institution is not needed for testing, the method is simple and convenient, meanwhile, the testing scheme has adaptability, real-time visual feedback of a VR virtual target rider is utilized, the potential of a user is stimulated, and the cardiopulmonary assessment accuracy is improved.

The application provides a kind of simulation breathing cardiopulmonary function device and control method, it includes breathing power module and gas proportioning module, breathing power module is connected with gas proportioning module and the pipeline of measured equipment, breathing power module provides breathing simulation process for measured equipment, wherein, gas proportioning module controls the composition, temperature and humidity of simulated exhaled gas of breathing power module;By accurately controlling the composition, temperature and humidity of simulated exhaled gas, the simulation breathing cardiopulmonary function device of the application can more accurately simulate the respiratory metabolism of human body in different states, thereby improving the accuracy and reliability of cardiopulmonary exercise test system performance test and calibration.This provides more accurate data support for clinical diagnosis and treatment, and helps doctors make more scientific judgments.

The invention discloses a cardiopulmonary function rehabilitation chair for middle-aged and elderly people, belongs to the technical field of rehabilitation chairs, and aims to solve the problems that a preset heart rate range is inconvenient to modify in real time according to actual conditions, and anxiety of a patient is possibly caused by frequent alarming, The cardiopulmonary function rehabilitation chair comprises a rehabilitation chair main body, a pulse sensor, a controller, a buzzer, an adjusting module and a control switch, the pulse sensor, the controller, the buzzer, the adjusting module and the control switch are all arranged on one side of the rehabilitation chair body, the pulse sensor, the controller, the buzzer, the adjusting module and the control switch are electrically connected, and threshold data of newly-added exercise time of a patient is written into a storage unit of the controller through the adjusting module. Therefore, the preset range in the controller can be modified in real time, the preset range of the heart rate can be modified in real time according to the actual condition, and the training amount can be increased by fully utilizing the period when the body state is good.

This invention discloses a performance quality evaluation method for a non-invasive cardiopulmonary function monitoring device, belonging to the field of medical device performance testing technology. The key technical points include: acquiring environmental adaptation data and clinical testing data of the non-invasive cardiopulmonary function monitoring device; constructing standardized evaluation items for the device based on the environmental adaptation data and clinical testing data; configuring evaluation thresholds and evaluation weights corresponding to the standardized evaluation items; collecting real-time output data of the device under test under calibration testing, clinical testing, and interference testing; calculating individual evaluation coefficients based on the real-time output data, evaluation thresholds, and evaluation weights; and comparing the individual evaluation coefficients with preset qualified thresholds. The effect is that through systematic integrated evaluation of key indicators, it can accurately capture the clinical data distortion problem caused by cross-module deviations despite standardized evaluation items meeting the standards, comprehensively reflecting the clinical suitability of the device and avoiding the clinical risks brought about by one-sided evaluations.

The utility model discloses an animal cardiopulmonary function test-based experimental treadmill, which comprises a support platform, a test assembly, a switching assembly, a lifting adjusting assembly and a protection assembly, the test assembly is arranged on the support platform, the test assembly comprises a driving part, a transmission shaft, a conveying belt and a baffle plate, the driving part is arranged on the support platform, the transmission shaft is arranged on the transmission shaft, and the conveying belt is arranged on the transmission shaft. The transmission shafts are divided into two sets, one set of transmission shafts is arranged on the driving component, the conveying belt is arranged on the two sets of transmission shafts, the baffle is arranged on the conveying belt, the switching assembly is arranged on the supporting platform, the other set of transmission shafts is rotationally arranged on the switching assembly, and the lifting adjusting assembly is movably arranged on the supporting platform. The protection assembly is arranged on the bottom wall of the supporting platform. Therefore, a rolling mutual matching mode is adopted, the continuity and the accuracy of an experiment are not affected while the inclination angle of the conveying belt is pushed and adjusted, and meanwhile animals are effectively protected and the experimental animals are conveniently grabbed through the protective net.

The invention belongs to the technical field of cardiopulmonary function monitoring, and particularly relates to an intelligent monitoring system suitable for a cardiopulmonary exercise test. The system comprises a hardware and software unit, a hardware integrated commercial exercise load device, a multi-source physiological parameter acquisition unit and other searchable devices, and software comprises a load adaptive adjustment module, a data fusion calibration module and other modules and is driven by a quantization formula; based on the monitoring method used by the system, the load is dynamically adjusted in stages, the CPET core index is calculated in real time, and intelligent risk early warning is achieved. According to the invention, the index measurement accuracy is improved, the problems of low data precision and calculation lag are solved, the test safety is guaranteed, and personalized rehabilitation guidance is provided.

The present application belongs to the technical field of sports rehabilitation, and aims at the technical problem that the current expert consensus is mainly to guide the patients after interventional therapy to carry out cardiac rehabilitation, and the population is not defined on the patients with angina after PCI, so the guidance of sports rehabilitation treatment is not accurate, and there is currently a lack of cardiac rehabilitation guidance technology for such patients. The present application adopts one-stop load myocardial perfusion technology, and combines cardiopulmonary exercise test to evaluate the cardiopulmonary function of the patient and formulate the exercise intensity. On the basis of the cardiopulmonary exercise test data and the clinical data of the patient, the transmural index of myocardial perfusion, a semi-quantitative index, is used to grade the microcirculation disorder, and the exercise intensity scheme of the patient is adjusted on this basis. After the evaluation of the present application by myocardial perfusion, the patient is given higher intensity training, and the degree of increase of VO2 is significantly improved compared with the traditional rehabilitation scheme.

Provided is a training management device for expiratory pressure load to alleviate tachypnea in COPD patients and improve exercise ability and physical mobility. The device is a training management device for users with COPD. The device includes an expiratory information input unit for inputting expiratory information related to the ratio T EX of the inhalation or exhalation time to one breath time during maximum exercise obtained by performing an exercise load cardiopulmonary function examination (CPET) on the user, and the ratio T RE of the inhalation or exhalation time to one breath time at rest obtained by the examination, and a user determination unit that calculates the difference between T EX and T RE to determine whether there is expiratory prolongation during exercise in the user, a menu presentation unit that presents a menu for expiratory pressure load training based on the maximum expiratory pressure value for a user with expiratory prolongation during exercise, and a training result presentation unit that inputs expiratory information and information related to exercise ability after a predetermined number of expiratory pressure load trainings, determines whether there is an improvement effect on the exercise ability of the target user, and presents the training result.

The invention belongs to the technical field of animal feeding, and discloses a feeding method and device for animal sustainable research, the poultry growth cycle is divided, the whole growth cycle is divided into a brooding period, a growing period and an egg laying period / maintenance period, and staged running training is performed according to the divided growth cycle; health monitoring and adjustment are carried out, the speed is reduced when the feed intake per day is reduced by more than 15%, and electrolyte is supplemented when the water content of poultry manure is greater than 75%; according to the method, anatomical sampling detection is performed monthly, and leg muscle / pectoral muscle ratio, tibia bone density and athletic ability tests are performed, so that poultry can be driven to move when the poultry is fed, and regular movement can promote cardiopulmonary function development, improve metabolism efficiency, enhance disease resistance and reduce the incidence rate of respiratory tract and digestive tract diseases; exercise consumes excess energy, excessive accumulation of visceral fat is avoided, and the probability of metabolic diseases such as fatty liver is reduced.