420 results about "Hearts lungs" patented technology

The invention discloses a driver health monitoring and early warning method and system, and belongs to the technical field of automobile intelligent cabins, and the method comprises the steps: calling camera data in a DMS in an intelligent cabin, positioning the chest of a driver, and obtaining three-dimensional coordinates of the chest part of the driver in a driving cabin space; adjusting a millimeter wave radar integrated in a steering wheel to send a radar signal by combining the three-dimensional coordinates positioned to the chest part; receiving an echo signal of the radar signal interfered by the fluctuating cavity motion of the thoracic cavity part; carrying out real-time extraction on a respiration signal and a heartbeat signal based on the echo signal to obtain a vital sign signal; performing feature extraction on the vital sign signals to obtain vital sign parameters; analyzing the vital sign parameters; and when the vital sign parameter exceeds a threshold value, sending an exception handling request. According to the method, cardiopulmonary data of a driver are analyzed, and occurrence of sudden cardiopulmonary diseases such as inhibitory respiration and heartbeat pause is judged in advance.

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 health information, and particularly discloses a heart rehabilitation training control method based on muscle force and electrocardiosignal real-time monitoring, which comprises the following steps: firstly, calculating real-time myoelectricity intensity to quantify muscle load, synchronously analyzing electrocardiosignals and respiratory frequency to obtain a cardiopulmonary state, and correcting physiological indexes in combination with a trunk motion state; then, a multi-parameter fusion result is generated through a weighted fusion algorithm, and the relevance between the muscle force load and the heart response is comprehensively reflected; then, the system judges the training intensity through a preset threshold model, generates a voice feedback instruction in real time to adjust the action of the patient, and adaptively updates training parameters to match the rehabilitation progress of the individual; meanwhile, the system continuously monitors multi-parameter changes, and automatically triggers an early warning mechanism when abnormal risks are detected, so that training safety is ensured. According to the method, the limitation that a traditional scheme depends on a single index is overcome, and personalized and dynamic heart rehabilitation training closed-loop control is achieved.

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 cardiopulmonary exercise tests, in particular to a cardiovascular patient risk assessment system and method based on a cardiopulmonary exercise test, and the system comprises a physiological data acquisition module, a blood oxygen fluctuation analysis module, an exercise load adjustment module, a cardiopulmonary recovery assessment module and a risk grading module. By monitoring and synchronizing multi-dimensional data in a cardiopulmonary exercise test in real time, the accuracy and credibility of the data are improved, close association between physiological indexes and exercise loads is strengthened, and a doctor can more accurately evaluate the blood oxygen stability and find key physiological changes in time through detailed blood oxygen fluctuation analysis; by integrating heart rate, expiration frequency and stride frequency data, dynamic exercise load adjustment is provided, optimized exercise suggestions for individuals are achieved, then prevention and evaluation strategies are refined, real-time monitoring on the recovery ability of a patient is increased by adding cardiopulmonary recovery evaluation, and intervention is more transparent.

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 relates to the technical field of medical equipment, in particular to a cardiopulmonary sound and electrocardiogram rapid screening system suitable for emergency treatment scenes. The system comprises a heart and lung sound acquisition unit, an electrocardiogram acquisition unit and an intelligent analysis unit. And the intelligent analysis unit realizes signal synchronization by establishing a cross-modal time sequence alignment model, adaptively matches the physiological state by adopting a dynamic time window adjustment mechanism, and introduces multiple rounds of verification processes to ensure the result reliability. The system can automatically complete synchronous collection, feature extraction and fusion analysis of the heart and lung sound and the electrocardiosignals, the diagnosis accuracy is remarkably improved while the screening speed is guaranteed, and reliable technical support is provided for rapid screening of heart and lung diseases in the emergency department.

The invention relates to the technical field of cardio-pulmonary resuscitation, and particularly discloses a cardio-pulmonary resuscitation pressing mechanism and a pressure monitoring control system thereof.The cardio-pulmonary resuscitation pressing mechanism comprises an acquisition module used for detecting and recording pressing data in the chest pressing process in real time; wherein the pressing data comprises the maximum pressure during chest pressing and the springback pressure during chest springback; the analysis module is used for analyzing the pressing data to obtain an analysis result; and the control module is used for controlling the cardio-pulmonary resuscitation pressing mechanism according to the maximum pressure and the rebound pressure detected in real time. The maximum pressure when the chest is pressed and the rebound pressure when the chest rebounds are monitored, control over the cardio-pulmonary resuscitation pressing mechanism is achieved, it is guaranteed that the chest of a patient is effectively pressed, and the treatment rate of cardio-pulmonary resuscitation is increased; by analyzing the pressing data, whether effective pressing exists or not can be analyzed and monitored, effective data support is provided for rescuers, corresponding measures can be taken conveniently, and the treatment rate is further increased.

The invention relates to substituted pyrazolo piperidine carboxylic acids, their salts and to processes for their preparation, and also to their use for preparing medicaments for the treatment and / or prophylaxis of diseases, in particular cardiovascular and cardiac diseases, preferably heart failure with reduced and preserved ejection fraction (HFrEF, HFmrEF and HFpEF), hypertension (HTN), peripheral arterial diseases (PAD, PAOD), cardio-renal and kidney diseases, preferably chronic and diabetic kidney disease (CKD and DKD), cardiopulmonary and lung diseases, preferable pulmonary hypertension (PH), and other diseases, preferably neurodegenerative diseases and different forms of dementias, fibrotic diseases, systemic sclerosis (SSc), sickle cell disease (SCD), wound healing disorders such as diabetic foot ulcer (DFU).

The invention relates to the technical field of medical first-aid equipment, and provides intelligent cardio-pulmonary resuscitation equipment based on physical sign information fusion, which comprises a physical sign monitoring module which is integrated with an electrocardiogram monitoring unit, an end-tidal carbon dioxide (ETCO2) monitoring unit and a carotid artery blood flow ultrasonic sensor and is used for acquiring electrocardiosignals, ETCO2 concentration and carotid artery pulse data of a patient in real time; the circulation optimization module comprises an in-vitro double-lower-limb pressurization device, promotes lower limb vein blood backflow through periodic air pressure pressurization, and is provided with a pressure sensor for dynamically adjusting the pressurization intensity. Through the intelligent pressing mechanical arm, the pressing track and the springback strength can be dynamically adjusted according to the pressing effective coefficient (CCF), personal errors caused by fatigue of an operator and individual differences are avoided, high standardization and stability of pressing operation are achieved, cardio-pulmonary resuscitation effectiveness is remarkably improved, lower limb vein blood backflow is promoted through periodic air pressure pressurization, and the cardio-pulmonary resuscitation effect is improved. A pressure sensor is arranged to dynamically adjust the pressurization intensity, and the success rate of cardio-pulmonary resuscitation is increased.

The invention relates to an apparatus for determining an indicator, which is representative for a physiological parameter of a patient like a fluid responsiveness parameter, based on a pulse signal. The apparatus determines a) a respiratory pulse variation signal (r0) corresponding to pulse variations caused by ventilation or respiration induced heart-lung interaction based on the pulse signal and b) a systolic part of the respiratory pulse variation signal, which corresponds to a time period in which an increasing or decreasing applied pressure passed the systolic arterial pressure of the patient and which therefore is prone to comprising an artifact. Moreover, the respiratory pulse variation signal is modified such that the determined systolic part of the respiratory pulse variation signal is corrected, wherein the indicator is determined based on the measured pulse signal and the modified respiratory pulse variation signal. This procedure allows for a more accurate determination of the indicator.

The invention relates to a method, a device and equipment for determining phase distribution of heart and lung area signals. The method comprises the following steps of: acquiring a target electrical impedance tomography signal which is synchronous with mechanical movement of the heart of a testee in electrical impedance tomography signals of the chest of the testee at a plurality of detection moments; determining an electrical impedance static image of the chest of the testee according to the target electrical impedance tomography signal; respectively determining regions of interest of the heart and the lung of the testee in the electrical impedance static image; determining a peak pixel point image according to the electrical impedance time change curve corresponding to the target pixel point in the lung region of interest; and calculating the sum of pixel points in the heart region of interest and the lung region of interest, and multiplying the sum of the pixel points by each peak value pixel point in the peak value pixel point image one by one to obtain a phase distribution diagram of the heart and lung region signals of the tested person. Voltage signals synchronous with heart mechanical movement can correspond to spatial positions, so that phase distribution of blood flow signals in the heart and lung area of a tested person is accurately reflected.

Methods, devices and systems are described for decreasing the activity of the sympathetic nervous innervation to and from the lungs and the vessels supplying the lungs to treat pulmonary medical conditions such as asthma. In one embodiment, the method may involve advancing an intravascular instrument to a target location in a blood vessel within the intercostal vasculature to ablate either or both the sympathetic afferent and efferent nerves lying within the paravertebral gutter including the visceral fibers that travel to the cardiothoracic cavity and abdominopelvic viscera and the T1 to T4 / 5 sympathetic chain. In another embodiment, an intravascular instrument may be advanced to the bronchial vessels to ablate either or both the sympathetic afferent and efferent nerves in and around the posterior pulmonary plexus. In one embodiment the ablative agent is a neurolytic agent delivered in a gel. This approach may be utilized to treat other cardiac and pulmonary diseases.

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 remote monitoring, in particular to a chronic respiratory disease patient remote monitoring system based on the Internet of Things, which comprises a physiological baseline initialization module, an event response delay measurement and calculation module, a cardiopulmonary coupling phase quantization module and a decompensation risk early warning module. According to the method, an individual blood oxygen and cardiopulmonary coupling health baseline is established to provide accurate reference for subsequent analysis, then the blood oxygen recovery time after apnea is measured and calculated, the physiological response delay characteristic of an individual is quantified, and the characteristic is used for setting a dynamic analysis window to continuously calculate the phase difference between a breathing mode and a blood oxygen signal, so that the phase difference between the breathing mode and the blood oxygen signal is calculated. By continuously comparing the current phase difference with the individual health baseline and triggering early warning when the difference value continuously exceeds a specific range, the early sign of the instability of the cardiopulmonary system can be effectively captured, the conversion from passive response type alarm to active predictive early warning is realized, and a precious time window is provided for preventing decompensation.

The invention relates to the technical field of cardiology department medical devices, and discloses a cardiology department thoracic cavity monitoring first-aid device which comprises a shell, the shell is worn on the chest of a patient through a chest bandage, an external chest compression mechanism is arranged on the shell, and the external chest compression mechanism comprises a first air bag arranged at the bottom of the shell; the shell is connected with an electrode plate for monitoring the respiration and the heart rate of a patient; a rotating disc is rotationally arranged on the shell, an inflation assembly is arranged on the rotating disc, a first air vent is formed in the rotating disc, a second air vent and a communicating groove are formed in the shell, and the second air vent communicates with an inner cavity of the first air bag through the communicating groove. According to the thoracic cavity monitoring and first-aid device for the department of cardiology, through a simple wearing device, when breathing and cardiac arrest of a patient are monitored, first-aid measures of cardio-pulmonary resuscitation can be automatically carried out, autonomous circulation and autonomous breathing are promoted, vital signs of the patient are helped to be gradually recovered, and irreversible damage to the brain and the body of the patient is avoided.

A chest compression assist glove is disclosed herein. The chest compression assist glove solves numerous problems in the performance of CPR by a human and is intended to provide mechanical advantage for a single rescuer performing chest compressions. The chest compression assist glove disclosed herein mitigates the fatigue and degradation of performance experienced by the rescuer due to the high energy demands of performing an intrinsically mechanically disadvantaged action over a sustained period.

The invention discloses a system and a device for measuring the cardiopulmonary endurance of an adult, and relates to the technical field of cardiopulmonary endurance measurement. The system comprises a power vehicle, a heart rate acquisition module, a data processing module, a motion control and voice guide module, a load regulation and control module, a result output and data management module, a safety monitoring and stopping module and a user interaction module, and the power vehicle comprises a positioning base, a supporting seat, a vehicle frame, a counting and power utilization mechanism and a measurement and power recovery mechanism. A stable and controllable physical exercise platform and an adjustable load system are provided, a heart rate collection module collects heart rate data of a subject in the resting and exercise process in real time, and the heart rate data serve as a VOmax estimation core basis. And data of more dimensions can be incorporated during formula calculation of the maximum oxygen uptake, so that the effect is better.

According to an example, there may be provided a method for classifying a carbon dioxide oscillogram, the method comprising obtaining a respiratory waveform from a carbon dioxide oscillogram, determining one or more turning points of the respiratory waveform, where the turning points include: a delta turning point between an expiratory baseline and an expiratory ascending branch, a gamma turning point between the inspiration descending branch and the inspiration base line, and an alpha turning point between the expiration ascending branch and the expiration platform; extracting the characteristics of the breathing waveform by using the turning point; and applying a trained machine learning model to the extracted features, where the trained machine learning model is configured to output a classification of the carbon dioxide oscillogram according to the features.

A pad carrying an array of ECG electrodes can be used to measure ECG signal amplitudes and AMSA, a signal analyzer determines a cardiac position with respect to the pad, and an indication of cardiac position with respect to indicia can be provided on a top surface of the pad for output to the user to guide in performing chest compressions during CPR. The pad may integrate a defibrillator electrode. The apparatus may be an automated external defibrillator (AED).

The invention provides an auscultation method and an auscultation system for digitally storing and analyzing heart and lung sounds. The auscultation method comprises the following steps: acquiring heart and lung sound signals of a patient by using a sound pickup of a digital stethoscope; the heart and lung sound signals are converted into digital signals through an analog-to-digital conversion chip; carrying out adaptive filtering processing on the digital signal; band-pass filtering is carried out through a signal filtering loop at the rear end of the microphone; identifying and removing environmental noise; performing fast Fourier transform analysis on the preprocessed digital signal; the analysis result is stored in a local storage device; and the heart and lung sound digital signal is transmitted to a remote server through the Wi-Fi module. According to the portable auscultation method and system, through accurate signal collecting and processing, real-time feedback and interaction, powerful data analysis capacity, safe data storage and transmission, portability and usability, the efficiency and accuracy of heart and lung sound diagnosis are remarkably improved, and important technical support is provided for modern medical diagnosis.

The invention relates to a single sensor for detecting cardiopulmonary multi-frequency vibration, belongs to the technical field of medical instruments, and relates to a cardiopulmonary signal detection technology. A single sensor which is formed by fixedly stacking a first transmission part, a piezoelectric film, a second transmission part and an absolute pressure sensor and is used for detecting multi-frequency vibration of the heart and the lung synchronously and stably collects mechanical vibration waves of the chest wall of the human body, and the piezoelectric film is triggered to generate piezoelectric signals capable of reflecting breathing, ultralow-frequency cardiac movement, cardiac vibration and heart and lung sound information of the human body. The absolute pressure sensor is triggered to generate an absolute pressure signal reflecting the fitting degree of the chest wall and the sensor, the application effect of synchronously extracting multi-band mechanical vibration information of the heart and the lung and the fitting degree of the human body on the single sensor is achieved through a signal processing method, and an efficient and portable mode is provided for knowing the activity and state of the heart and the lung.

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.

The invention discloses a critical patient rehabilitation evaluation system based on artificial intelligence, particularly relates to the technical field of medical information and intelligent rehabilitation evaluation, and is used for solving the problems that in an intensive care unit, multi-source data are not synchronous, nursing and treatment events are often caused, sedation and ventilation fluctuation pollution is caused, and the problem of serious illness is solved. And thus, the problem of distortion in judgment of which level cannot move nowadays and can move to can be solved. A unified time base is established through three types of anchor points of nursing, body position and cardiopulmonary rhythm, passivity and autonomy are judged in an influence time period, and the passivity is deducted and reserved; and then sedation, circulation, respiratory support and medication are compiled into safety budget with delay, linkage evidence quantity and uncertainty adjustment release rhythm, and degradation and rollback are triggered by an anti-fact track of margin segmentation, so that an executable prescription of'activity, reachable grade and reason 'is output beside a bed, event pollution and physiological fluctuation are inhibited, and the aim of preventing and treating the patient is fulfilled. And maloperation and missed operation are reduced.

The invention discloses a portable autonomic nerve function evaluation device, method, equipment and program product, and is specifically characterized in that the breathing of a user is individually adjusted to a specific frequency through an intelligent breathing monitoring and guiding program, and the heart rate fluctuation condition of the user in the process is recorded by a heart rate acquisition device; the heart and lung coupling strength of a user is quantitatively analyzed based on a feature extraction algorithm, and a mapping model between physiological features and clinical indexes is constructed to realize quantitative evaluation and portable monitoring of autonomic nerve functions. Based on accurate decoding of the cardiopulmonary coupling process, the portable autonomic nerve function evaluation device, method, equipment and program product which are rapid, low in manufacturing cost and easy and convenient to operate and have popularization significance are achieved, and the needed measuring device is simple and convenient and can be used for individualized home health evaluation.

The present disclosure provides a method for assessing cardiorespiratory health. The method comprising: generating mechanical movement data associated with a torso of a subject's body using a plurality of ballistocardiography (BCG) sensors; filtering the mechanical movement data to extract respiratory signal waveforms and heart signal waveforms; decomposing the respiratory signal waveforms into thoracic, diaphragmatic, and abdominal breathing components based on waveform characteristics and anatomical location of the plurality of BCG sensors; analyzing phase differences between the thoracic, diaphragmatic, and abdominal breathing components over time to quantify a degree of synchrony or asynchrony; evaluating relative contributions of thoracic, diaphragmatic, and abdominal breathing components to an overall breathing effort; identifying a breathing abnormality based on the analysed phase differences and the evaluated relative contributions; and detecting a potential cardiorespiratory condition based on the identified breathing abnormality.

Systems, devices, and methods provide up-to-date defibrillation shock recommendations. In an example method, multiple segments of an electrocardiogram (ECG) of an individual are detected from an individual receiving chest compressions. The multiple segments are evaluated to determine whether the individual is exhibiting a shockable heart rhythm. A medical device outputs a recommendation indicating whether a defibrillation shock is advised based on the most recent determination of the individual's heart rhythm. For example, the medical device outputs an up-to-date recommendation on-demand in response to an input signal from a user. In some examples, the medical device updates the recommendation based on ongoing analysis of the ECG.

The application discloses a ganoderma lucidum compound composition for improving immunity, which is prepared from ganoderma lucidum, ginseng, astragalus, licorice, cistanche, schisandra chinensis, cyperus rotundus, pericarpium citri reticulatae viride, melia toosendan, radix codonopsis, atractylodes, dioscorea, chuanxiong, angelica sinensis, radix rehmanniae preparatae, ligustrum lucidum, medlar, pinellia ternata, poria cocos and white mustard seed, and can be used for treating low immunity caused by heart-lung qi deficiency by supplementing heart qi, tonifying lung and spleen, dispersing liver and resolving stagnation, and activating blood circulation.

The invention relates to the technical field of biological medicines, in particular to a pharmaceutical composition and application thereof in preparation of a medicine for treating the heart-lung qi deficiency type pulmonary heart disease. The pharmaceutical composition consists of 21-27 parts of astragalus membranaceus, 13-17 parts of semen lepidii, 7-10 parts of cassia twig, 21-27 parts of ligusticum wallichii, 7-10 parts of rhizoma alismatis, 5-7 parts of platycodon grandiflorum and 2-4 parts of Chinese dates. Compared with the prior art, the cassia twig is adopted to replace fructus psoraleae in an original formula, and meanwhile, the medicinal material specifications of the fried semen descurainiae, the raw ligusticum wallichii and the salted rhizoma alismatis are preferably selected. The invention also provides three preparation methods of the pharmaceutical composition, namely a water extraction and alcohol precipitation method, an alcohol extraction and water extraction combined method and a crushing and mixing method. Experimental results show that the pharmaceutical composition has remarkable effects on improving heart functions, lung functions, blood-gas indexes, right ventricular hypertrophy and the like of pulmonary heart disease model animals, meanwhile, the hepatotoxicity risk of fructus psoraleae is avoided, and the pharmaceutical composition has a good clinical application prospect.

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.