36 results about "Cardiopulmonary function" patented technology

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 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.

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 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 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.

This application relates to the field of AI data monitoring technology, and provides a health management status assessment method and AI server based on AI intelligent monitoring data. The method performs successive heartbeat waveform structure segmentation on the time series of photoplethysmography (PPG) signals to obtain a heartbeat waveform unit sequence, and performs successive respiratory waveform structure segmentation on the time series of chest impedance respiratory signals to obtain a respiratory waveform unit sequence. Based on the heartbeat waveform units, the method constructs the evolution trajectory of heartbeat waveform morphology features, and based on the respiratory waveform units, the method constructs the evolution trajectory of respiratory waveform morphology features. The method performs synchronous correlation and alignment processing on the time axis of the heartbeat and respiratory waveform morphology feature evolution trajectories to generate a joint state feature evolution path representing the coupling relationship of the cardiopulmonary system, and inputs it into a pre-trained health status assessment network for dynamic pattern encoding and mapping processing, and outputs a comprehensive assessment result of the cardiopulmonary function coupled health status.

The building construction machinery cockpit comprises a cockpit body, a rain shelter is fixedly installed at one end of the cockpit body, an oxygen storage mechanism is fixedly installed in the rain shelter, a first air pipe is installed at the exhaust end of the oxygen storage mechanism in a communicating mode, and the first air pipe penetrates and extends to the top in the cockpit body; the other end of the first air pipe communicates with a first electromagnetic valve, one end of the outer surface of the first air pipe located at the top in the cockpit communicates with a second air pipe, the other end of the second air pipe communicates with a ring pipe, and the outer surface of the ring pipe rotationally communicates with an oxygen inhalation mechanism in a damping mode. Through the design of the oxygen storage mechanism and the oxygen uptake mechanism, the oxygen concentration in the cabin is monitored in real time through the oxygen sensor, headache of a driver due to oxygen deficit is fundamentally avoided, the risk of heart and lung function injury is reduced, meanwhile, the emergency oxygen uptake mechanism can rapidly provide high-concentration oxygen by pulling down a mask, and life health of the driver is doubly guaranteed.

The invention relates to the technical field of medical instruments, in particular to a heart health state assessment method, a processing device, a system and a computer readable storage medium. Obtaining a first maximum voltage according to first high-frequency QRS wave group data obtained according to the exercise electrocardio data, obtaining a waveform type of a first high-frequency QRS wave group corresponding to each electrocardiogram lead, obtaining a first lead positive index, and obtaining a second maximum voltage according to a second high-frequency QRS wave group number obtained according to the resting electrocardio data, and obtaining a wave crest number corresponding to each electrocardiogram lead; a high-frequency form index, a second lead positive index and a QRS time limit; respectively obtaining a cardiopulmonary function index, a vascular response capability index and a myocardial cell vitality index based on the data; and determining a heart health assessment result according to the cardiopulmonary function index, the vascular response capability index and the myocardial cell vitality index. According to the scheme, the evaluation dimensionality is comprehensive, the defect of single-dimensional evaluation in the prior art is overcome, and the requirement for integrated evaluation of heart health clinically is met.

1. Name of the product in this design: Cardiopulmonary Rehabilitation Instrument. 2. Purpose of this design: A rehabilitation device for cardiopulmonary function. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. Name of the design product: extracorporeal cardiopulmonary support device. 2. Use of the design product: short-term replacement of cardiopulmonary function to gain time for heart or lung repair. 3. Design features of the design product: in the overall shape and structure of the product. 4. Picture or photograph best indicating the design features: perspective view.

The invention discloses a heart and lung condition detection system for a patient with chronic obstructive pulmonary disease based on virtual reality, and belongs to the technical field of intelligent medical treatment. The problem that the cardiopulmonary state of a patient in daily activities is difficult to comprehensively reflect in the prior art is solved, data packet loss is found in time by detecting the time interval of the data stream, and data transmission errors are reduced in combination with monitoring of the data transmission rate; data are analyzed in combination with physiological rules, and untrusted data are removed; therefore, a reliable data basis is provided for cardiopulmonary function evaluation, and the rehabilitation effect can be improved. A multi-dimensional respiratory cycle portrait of a chronic obstructive pulmonary disease patient is analyzed in real time by constructing a cardiopulmonary function prediction model, and an abnormal mode deviating from a baseline is accurately recognized; a user behavior analysis mechanism is introduced to evaluate the psychological state and the rehabilitation effect, personalized early warning information and rehabilitation suggestions are generated, it is ensured that a patient can be intervened in time when abnormity occurs, and meanwhile the monitoring burden of medical staff is relieved.

1. The name of the design product: breathing training device. 2. The use of the design product: breathing training device for exercising cardiopulmonary function. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This application provides a method and wearable device for detecting recovery degree, relating to the field of smart wearable device technology. The method, after acquiring sleep monitoring data and reference data, determines recovery evaluation indicators from the sleep monitoring data, then calculates core indicator scores based on the reference data and core indicators, and calculates cardiopulmonary function scores based on the reference data and cardiopulmonary function indicators. Finally, it calculates a recovery degree score based on the core indicator scores and cardiopulmonary function scores. The method uses physiological parameters collected by the wearable device to determine recovery evaluation indicators, including core indicators and cardiopulmonary function indicators, and calculates the core indicator scores and cardiopulmonary function scores respectively. Since the monitoring process only uses data directly collected by the wearable device or data fitted based on the collected data, the method can reduce the number of indicators required for recovery degree detection and improve the efficiency of recovery degree detection.

The invention discloses a spinning device suitable for a patient with lumbar disc herniation and a using method, and relates to the field of exercise rehabilitation physiotherapy devices for the patient with lumbar disc herniation. The device is a spinning composed of a base capable of lifting and moving back and forth, a lifting handlebar, a pressure meter for bearing pressure from upper limbs on the handlebar, a weighing machine for measuring the weight of a rider at the bottom of the spinning, a control screen capable of displaying the ratio of the pressure to the weight of the upper limbs and the like. According to the riding setting method, a saddle is not lower than (or very close to) the height of the handheld position of a handle rider, the body of the rider naturally inclines forwards by increasing the height of a base or increasing the distance between the handlebar and the base, the upper limb pressure borne by the handlebar is larger than 10% of the body weight of the rider, and it is guaranteed that the upper limb naturally supports the forwards-inclined upper half body during riding. According to the device and the using method, it is ensured that the upper limbs naturally support the forerake upper body during riding, the lumbar spine load is relieved, and lumbago is relieved; meanwhile, the lower limbs are fully exercised to improve cardio-pulmonary functions.

1. The name of the design product: stair climbing machine. 2. The use of the design product: simulate the action of climbing stairs, and exercise the lower limbs and cardiopulmonary function. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The application provides a multi-interface edge computing digital base for cardiopulmonary function evaluation, comprising: a multi-interface data receiving module for receiving cardiopulmonary sensing terminal data and environmental sensing data; a data preprocessing module for performing preprocessing operations such as device protocol analysis, filtering and feature extraction on the received data; an edge computing inference module for deploying a cardiopulmonary function evaluation artificial intelligence model and performing real-time inference evaluation based on the preprocessed data; a data storage and management cloud service module for storing the collected data and evaluation results in a cloud time series database; and a human-computer interaction module for displaying user information input and cardiopulmonary function evaluation results. The application can connect various existing cardiopulmonary function sensing terminals through the multi-interface data receiving module, perform protocol analysis, filtering and feature extraction through the data preprocessing module, and then perform real-time evaluation of cardiopulmonary function through the edge computing inference module.

1. The name of the design product: breathing training device. 2. The use of the design product: breathing training for exercising heart and lung function. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The invention provides a traditional Chinese medicine composition for treating pulmonary arterial hypertension and application thereof, and belongs to the technical field of traditional Chinese medicine preparation. The traditional Chinese medicine composition for treating pulmonary arterial hypertension is prepared from the following components in parts by weight: 5-7 parts of herba ephedrae, 7-9 parts of semen armeniacae amarae, 20-24 parts of gypsum, 5-7 parts of liquorice root, 9-11 parts of radix salviae miltiorrhizae, 0.8-1.2 parts of leech and 2.5-3.5 parts of radix notoginseng. According to the treatment principle of freeing lung, relieving asthma and promoting blood circulation to remove blood stasis, ephedra, apricot kernel, gypsum and licorice granules with the effects of freeing lung, clearing heat and relieving asthma are used as monarch drugs, and salvia miltiorrhiza, leech and pseudo-ginseng with the effects of promoting blood circulation to remove blood stasis are used as ministerial drugs for compatibility; the prepared traditional Chinese medicine composition can reduce the length ratio of the right ventricle to the left ventricle plus ventricular septum and the length ratio of the right ventricle to the tibia, inhibit right ventricular hypertrophy, repair pulmonary vascular injury and improve the pulmonary ventilation function, the cardio-pulmonary function and pulmonary arterial hypertension.

The embodiment of the invention provides a non-invasive cardiopulmonary function comprehensive evaluation and intervention system, a wearable device and an evaluation method, and the system comprises a multi-modal sensing module, a feature extraction and cross-modal dynamic coupling analysis module and a multi-task regression estimation module which are mutually coupled. The multi-modal sensing module is used for collecting various signals in different modals, and the feature extraction and cross-modal dynamic coupling analysis module is used for carrying out feature extraction on the signals in different modals and realizing cross-modal dynamic coupling and analysis. And the multi-task regression estimation module is used for estimating cardio-pulmonary function indexes based on multi-task linear regression by adopting an estimation model. According to the embodiment, multi-mode physiological signals can be collected and fused at the same time, the dynamic coupling characteristics of the multi-mode physiological signals are analyzed through an algorithm, the cardiopulmonary function indexes are accurately estimated in the resting state, the capacity of real-time early warning, intervention feedback and self-adaptive optimization is achieved, and the requirements for continuous monitoring inside and outside a hospital and chronic disease management are met.

The application provides an aortic dissection postoperative cardiopulmonary function rehabilitation device, and belongs to the technical field of cardiopulmonary rehabilitation. The aortic dissection postoperative cardiopulmonary function rehabilitation device comprises a fixing structure and a clamping structure, the fixing structure comprises a first gasket, a second gasket, a U-shaped frame, a fixing assembly, a rectangular shell, an adjusting assembly, an arc-shaped clamping plate and two connecting belts, the first gasket is rotationally connected with the second gasket, the U-shaped frame is slidingly connected with the first gasket, the fixing assembly is connected with the U-shaped frame, and the rectangular shell is connected with the fixing assembly. In the application, the aortic dissection postoperative cardiopulmonary function rehabilitation device can conveniently avoid foot deviation during rehabilitation training, improve the training effect, and conveniently adjust the position of the U-shaped frame according to the height of a user, thereby improving the practicability of the device.

The application discloses a heart-lung function decline state evaluation system, and specifically comprises the following modules: a data acquisition module, which is used for collecting multi-dimensional physiological index data of an individual; an index construction module, which is used for classifying the heart-lung function decline state of the individual based on the preprocessed multi-dimensional physiological index data, adopting an unsupervised clustering analysis model, and constructing a heart-lung function decline index; and a model construction module, which is used for constructing a heart-lung function decline index prediction model based on multi-source clinical data, collecting physiological data of the individual in real time or periodically through a wearable device, inputting the heart-lung function decline index prediction model, and outputting the current heart-lung function decline index of the individual. Through multi-dimensional physiological index collection and comprehensive analysis, combined with real-time monitoring of a wearable device and personalized adaptive intervention, the application realizes early precise identification and dynamic health management of heart-lung function decline.

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 relates to the field of medical instruments, in particular to a cardiopulmonary function rehabilitation training device. According to the invention, a patient can intermittently simulate climbing and running, and can keep smooth breathing in continuous movement, so that continuous exercise is realized, and the effect and efficiency of cardiopulmonary function rehabilitation exercise of the patient are improved. A cardiopulmonary function rehabilitation training device comprises a bottom plate, supporting legs and the like. And two supporting legs are fixedly connected to the top of the bottom plate. A patient holds the handrails with two hands, stands on the crawler belt and controls the operation panel to start the motor, the motor enables the patient to continuously jog on the crawler belt, the patient can intermittently simulate climbing running and continuously do rhythmic movement, the body can be fully exercised, and the patient is more comfortable to wear. Therefore, blood circulation of the patient can be effectively promoted, the working efficiency of the heart is improved, and then the patient can effectively conduct cardiopulmonary function rehabilitation exercise.

Provided according to embodiments of the invention are methods, devices and systems for monitoring respiration. Methods described herein include isolating an isolated DC component signal stream, and optionally an isolated AC component signal stream, from the raw PPG signal; calculating a waveform parameter using at least a portion of the isolated DC component signal stream, and optionally, a corresponding portion of the raw PPG signal stream and / or the isolated AC component signal stream; and monitoring respiration in the individual by analyzing the waveform parameter over time.

The application discloses a kind of respiratory cardiopulmonary function training equipment, comprising: shell, shell side articulates with door body, and shell side is provided with mouth opening;Adjustable training mechanism, adjustable training mechanism includes first box, first box is fixedly connected in shell, first box is fixedly connected with first baffle in first box, and the sidewall of first box is provided with a plurality of through holes, a plurality of through holes are located above first baffle, and a plurality of through holes are correspondingly arranged with mouth opening, adjusting portion is installed in first box, and adjusting portion penetrates first baffle;Mask, mask is communicated with the top of first box;Control panel, control panel is fixedly connected on door body, and adjusting portion is electrically connected with control panel.The application can adjust the breathing resistance according to the actual situation of patient, and dynamically adjust breathing resistance, so that patient gradually adapts to the change of breathing resistance, to improve the effect of breathing training.

1. Name of the product in this design: Breathing Trainer. 2. Purpose of this design: To improve cardiopulmonary function. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

An ambulatory medical device configured to be worn on a patient's body includes at least one electrocardiogram (ECG) electrode configured to sense cardiac activity, at least one acoustic sensor configured to detect one or more heart sounds, and at least one processor. The at least one processor is configured to implement a cardiopulmonary function analyzer to detect a suspected tachyarrhythmia based on an analysis of ECG signal(s) and verify the suspected tachyarrhythmia as a ventricular tachycardia (VT) event by analyzing acoustic signal(s) to distinguish the VT event from a supraventricular tachycardia (SVT) event. Said analysis includes determining an intensity and / or a beat-to-beat variability of a first heart sound (S1). The at least one processor verifies the suspected tachyarrhythmia as the VT event when the intensity of the S1 sound is below a predetermined intensity threshold or when the beat-to-beat variability of the S1 sound is above a predetermined variability threshold.

The utility model relates to the technical field of medical rehabilitation instruments, in particular to equipment for cardiovascular rehabilitation training activities of children, which comprises an air blowing pipe and a rubber push rod, and a bent pipe is fixedly mounted at the right end of the air blowing pipe. The swing mechanism is driven to swing upwards and make a sound through cooperation of a movable disc, a rubber push rod and other structures, so that the breathing training device increases interestingness of children through the swing mechanism, meanwhile, after the children blow air, backflow air is effectively exhausted through the blocking mechanism, and the interestingness of the children is improved. The ability of the trainer to flexibly adjust the training intensity according to the progress degree of children is greatly enhanced, meanwhile, discomfort symptoms such as stimulation to the respiratory mucosa of the children and unsmooth breathing caused by backflow are avoided, and the diversity and depth of the training effect are remarkably improved through the improvement. Therefore, the comprehensive rehabilitation of the cardiopulmonary function of children is positively promoted.