647 results about "Hearts lungs" patented technology

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).

A system and method for non-invasive cardiorespiratory health assessment using a camera to capture video of a subject's chest region. The method includes tracking the motion of pixel groups in the video to construct a 3D motion map of the chest surface vibrations. The motion map is then analyzed by an artificial intelligence (AI) model to classify the subject's cardiorespiratory health status and estimate various physiological parameters. The AI model is trained on a dataset of chest vibration maps labeled with corresponding health statuses. The system can be implemented on various devices, including smartphones, and can provide real-time feedback to the user through a user interface.

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 relates to the technical field of respiration monitoring, and provides respiration monitoring equipment and a respiration monitoring method.The respiration monitoring equipment comprises a mask body, a monitoring module and a communication module, the monitoring module and the communication module are arranged on the mask body, and the mask body is provided with a respiration cavity; the monitoring module comprises a carbon dioxide monitoring module, an oxygen monitoring module and a breathing flow monitoring module, the carbon dioxide monitoring module, the oxygen monitoring module and the breathing flow monitoring module are arranged on the mask body at intervals and communicate with the breathing cavity, and the mask body is in wireless connection or wired connection with the upper computer through the communication module. The respiration monitoring equipment can achieve high-precision real-time monitoring of multiple respiration gas parameters, has the advantages of being small in size, light in weight, high in integration degree, easy to carry and the like, can be suitable for various clinical monitoring scenes, facilitates improvement of detection accuracy and timeliness, and is suitable for popularization and application. And wide application of portable monitoring equipment in the field of motion cardiopulmonary function detection can be promoted.

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 data processing, in particular to a heart and lung sound data monitoring method and system based on big data. The method comprises the following steps: acquiring a curve oscillogram of a heart sound signal and / or a lung sound signal, wherein the curve oscillogram comprises a plurality of data points; taking any extreme point as a target extreme point, acquiring data points on a curve segment between the target extreme point and the single-side adjacent extreme point, and taking the maximum value in absolute values of difference values of slopes of the data points and the adjacent data points as a first deviation index of the data points; determining a first deviation of the target extreme point; obtaining an abnormal score of the target extreme point through an isolated forest algorithm, and determining a second deviation of the target extreme point; determining a filtering window of the target extreme point; and the target extreme point is processed based on the filtering window, and the monitoring result of the heart sound signal and / or the lung sound signal is determined, so that the accuracy of heart and lung sound data monitoring can be effectively improved.

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 a heart and lung sound noise reduction method and system based on a sound stethoscope. A traditional heart and lung sound data noise reduction algorithm is poor in performance in a complex environment, so that a doctor cannot give an accurate diagnosis result. The heart and lung sound is acquired through the acquisition module, the heart and lung sound is converted into a digital form through the analog-to-digital converter and stored, then the stored heart and lung sound data is subjected to traditional time-frequency noise reduction processing and deep learning algorithm noise reduction processing, and the deep learning algorithm noise reduction processing comprises construction of a clean heart and lung sound data set and a noise data set. The heart and lung sound data with noise is obtained by randomly synthesizing clean heart and lung sound data and a noise data set, and the obtained data set is subjected to noise reduction and noise removal processing. According to the method, noise reduction and noise removal are further carried out on the sound signals by adopting the traditional and deep learning model algorithms, the signal-to-noise ratio is obviously improved compared with noise data and a traditional method, and cardiopulmonary sound extraction can be carried out in a more complex external environment.

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 provides a cardiopulmonary function training method and device, a computer readable storage medium, a computer program product and terminal equipment. The cardiopulmonary function training method comprises the steps that a target motion mode is determined according to physiological information of a user and first motion information, and the target motion mode is matched with a corresponding target heart rate interval; acquiring second motion information, wherein the second motion information comprises physiological feature data of the user and acceleration data of equipment used by the user; determining a suggested stride frequency according to the second motion information, wherein the heart rate of the user under the suggested stride frequency is close to the target heart rate interval or is within the target heart rate interval. The invention provides a scheme for flexibly carrying out stride frequency training and improving the cardiopulmonary function training effect.

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 utility model discloses a cardio-pulmonary resuscitation training device which comprises a simulation shell and a working assembly, and the working assembly is arranged in the simulation shell. The simulation shell comprises a chest shell and a head shell, and the chest shell and the head shell are fixedly connected with the working assembly. The working assembly comprises a base, a working platform, an elastic supporting piece and a supporting frame. The head shell and the chest shell are of a hinged structure, and an operator can be trained to conduct airway opening training operation on a patient in the training process. The chest pressure detection device is provided with four groups of elastic supporting pieces, so that the pressure of each position of the chest can be detected. The pressing position of the trainer can be effectively guided, and the problem that the pressing position is wrong is avoided. According to the utility model, standard process training can be carried out on a trainee, and the pressing position, the pressing force, the pressing frequency and the pressing amplitude can be accurately guided.

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.

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).

Various exemplary embodiments of the present disclosure encompass a physiological monitor for monitoring a physiological parameter of a patient during cardio-pulmonary resuscitation "CPR" of the patient and a mechanical CPR device having an adjustable configuration for adjusting chest compressions to the patient during CPR of the patient. During the CPR of the patient, an exemplary CPR controller controls the adjustable configuration of the mechanical CPR device based on maintaining physiological parameter monitoring of the patient by the physiological monitor at a baseline physiological parameter level for the patient.

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.