41 results about "Heart rate analysis" patented technology

A method, system, and computer program product related to the detection of physical activity using changes in heart rate. The method, system, and computer program product evaluates short term glucose demand and long term insulin action due to physical activity. The method, system, and computer program product is further related to the improvement of open and closed loop control of diabetes by accounting for the metabolic changes due to physical activity. The method, system, and computer program product is directed to detecting in real time the short and long term effects of physical activity on insulin action via heart rate analysis, and recommending changes in insulin dosing to compensate for the effects of physical activity. With these recommendations, the open and closed loop control of diabetes can be improved and steps can be taken to prevent hypoglycemia that may result from increased insulin sensitivity due to physical activity.

The invention relates to the field of electronic health detection, and discloses a non-contact type automatic heart rate measurement system and a measurement method. The non-contact type automatic heart rate measurement system adopts a non-contact mode to remotely collect video data of a measured person and performs data conversion to realize automatic heart rate measurement, and is characterized by comprising a video collection module, a framing extraction ROI (region of interest) module, a primary color component separation module, a time-domain signal generation module, a blind source separation module, a signal screening module and a heart rate analysis module. Compared with the prior art, the non-contact type automatic heart rate measurement system and the measurement method are based on an automatic face track and blind source separation technology, adopt a noninvasive and non-contact type remote physiological signal detection method, overcome influence of motion artifact in video record, has motion tolerance, is high in measurement accuracy, and can perform heart rate measurement automatically and simultaneously.

A method, system, and computer program product related to the detection of physical activity using changes in heart rate. The method, system, and computer program product evaluates short term glucose demand and long term insulin action due to physical activity. The method, system, and computer program product is further related to the improvement of open and closed loop control of diabetes by accounting for the metabolic changes due to physical activity. The method, system, and computer program product is directed to detecting in real time the short and long term effects of physical activity on insulin action via heart rate analysis, and recommending changes in insulin dosing to compensate for the effects of physical activity. With these recommendations, the open and closed loop control of diabetes can be improved and steps can be taken to prevent hypoglycemia that may result from increased insulin sensitivity due to physical activity.

The invention discloses a system and method for intelligent video monitoring of vital signs. The system comprises a heart rate analysis and extraction module, a cloud side database and an intelligent application module, wherein the heart rate analysis and extraction module and the intelligent application module are equipped with wireless communication modules respectively. The heart rate analysis and extraction module is used to shoot a human face video image, conduct human face detection, determine a human face area, process the human face area, determine a skin area, extract an interested area, compute gray averages of three RGB channels, apply independent component analysis to conduct blind source separation of signals and obtain a heart rate by a heart beat interval mean value method; the wireless communication modules upload the real-time heart rate obtained by the heart rate analysis and extraction module to the cloud side database and are connected to wireless intelligent communication equipment in the intelligent application module; and the intelligent application module is used to conduct the real-time monitoring and store heart rate information, and is also used to conduct early warning for physical health conditions. The system and the method disclosed by the invention are effective and reliable and have the advantages that vital sign signals can be monitored in real time; monitoring accuracy is high; timeliness is high; and applications are wide.

The invention provides a monitoring device controlled based on an intelligent mobile phone for preventing obstructive sleep sudden death. The monitoring device includes the intelligent mobile phone, an image detection and signal treatment device and an oximeter. The image detection and signal treatment device includes: an image recognition and signal treatment module based on Digital Signal Processor (DSP), an RGB camera shooting module, a storage module and a wireless module. The recognition and signal treatment module includes: a heart rate signal analysis module, a snore signal analysis module and a breathe frequency analysis module. The heart rate analysis module is respectively connected to the RGB camera shooting module and the storage module and measures the sleep heart rate, the breathe, and the snore in non-contact manner, measures the blood oxygen saturation through the oximeter, fits a function according to negative correlation of the blood oxygen saturation and sleep apnea time, thereby improving the veracity and effectiveness of the oximeter, systematically analyzing the signal variation to recognize the sleep condition and to prevent the sleep sudden death.

The invention relates to an electrocardiogram-based heart rate analysis method and equipment, wherein the heart rate analysis method comprises the following steps: obtaining particular cardiac cycle data based on electrocardiogram; drawing a heart rate scatter diagram based on the cardiac cycle data; respectively connecting two scatter points adjacent in time domain in the heart rate scatter diagram to obtain a plurality of vectors; drawing a fence diagram of vectors in chronological order of the appearance of vectors, wherein the chronological order of the appearance of vectors is consistent with the chronological order of the appearance of the scatter points for forming the vectors; judging whether the cardiac cycle data is in a predetermined range of normal values; drawing the cardiac cycle data beyond the range of normal values in the fence diagram based on the time correspondence. According to the invention, the cardiac cycle data in the electrocardiogram are superimposed into the fence diagram of the vectors, so that doctors can not only see the starting point of sustained arrhythmia visually, but also see the duration of sustained arrhythmia, so as to be beneficial to the diagnosis of doctors.

The invention relates to a method and device for heart rate analysis based on an electrocardiogram. The method includes the steps that a heart rate scatter diagram is drawn according to the electrocardiogram; every two scattered points adjacent in time in the heart rate scatter diagram are connected to acquire multiple vectors; a fence diagram of the vectors is drawn according to the time sequence of the vectors, wherein the time sequence of the vectors is the same as the time sequence of the scattered points for forming the vectors. According to the heart rate analysis method and device based on the electrocardiogram, every two scattered points adjacent in time in the heart rate scatter diagram are connected to acquire the multiple vectors, the fence diagram of the vectors is drawn according to the time sequence of the vectors, the corresponding relation between heart rates and time points can be clearly reflected in the fence diagram, and then a doctor can clearly and visually see time points of diseases according to the fence diagram of the vectors in the diagnosis process of arrhythmia and other diseases.

The invention provides a heart rate detection method and system, a terminal device and a headset.The heart rate detection method includes the steps that an electrical pulse signal transmitted by the headset is received, wherein the electrical pulse signal is formed by converting heart rate monitoring data; heart rate analysis is carried out on the electrical pulse signal, and a heart rate analysis result is generated; feedback information is generated according to the heart rate analysis result.According to the method, the electrical pulse signal collected by the headset is received and analyzed to obtain the heart rate analysis result, and the most similar health feedback information is obtained through matching; the headset has the advantages of being low in manufacturing cost, convenient to wear and high in heart rate detection accuracy rate, and the experience of a user is greatly improved.

The present invention relates to a system for sleeping assistance which comprises an electrocardiogram collector, a heartbeat recognition device, a frequency domain analysis device and a nerve active judgment device. Frequency spectrum and heartbeat rate analysis are made by the measured electrocardiogram to find out what nerve actives effect sleeping and to give corresponding feedback.

The invention discloses a heart rate analysis method. Focusing on the problem that in the prior art, heart rate detection data is not fully utilized, the following technical scheme is provided. Heartbeat data and respiration data of a person to be tested in a period are collected, and the maximum heart rate Hmax, the minimum heart rate Hmin, the maximum respiration frequency Rmax and the minimum respiration frequency Rmin of the person to be tested are determined; the heart rate H and respiration frequency R of the person to be tested in any time t of a period T are calculated according to the formula as shown in the description, wherein P is the heart rate deviation ratio, Q is the respiration deviation ratio and U is fatigue; if the fatigue U is larger than the maximum fatigue value M, it is determined that the heart of the person to be tested is in an over-fatigue state, and a rest is needed. The fatigue reflects the fatigue state of the heart of a person, whether or not the person to be tested is tired is judged through the calculated fatigue, so that the person to be tested is informed in time to take a rest when the heart is tired, and the heart rate detection data is utilized more fully.

The invention discloses a health monitoring method for the aged in a smart community, a computer device and a readable storage medium. The method includes: automatically and accurately acquiring a target face picture set of a target elderly person under a current behavior uniquely identified by a current behavior identifier; then sending a target face picture in the target face picture set and thepicture acquisition time to a server; when the server receives the target face picture and the picture acquisition time, determining the current heart rate of the target elderly person under the current behavior based on the target face picture and the picture acquisition time; and finally, accurately analyzing the current heart rate under each current behavior and the historical heart rate underthe historical behavior corresponding to the current behavior to obtain a heart rate analysis result; and when the received heart rate analysis result is abnormal, determining the health of the target elderly person is abnormal. The method accurately determines the health status of the target elderly person, and improves the accuracy of the health monitoring of the aged in the smart community.

The invention discloses a real-time dynamic heart rate monitoring device and monitoring method. The device comprises a baseline drift removal module, a band-pass filter module, a frequency domain analysis module and a heart rate frequency point selection module, wherein the baseline drift removal module is used for removing an interference signal of causing drift of the baseline of a pulse wave signal; the band-pass filter module is used for removing a noise signal out of a heart rate frequency band when obtaining a frequency signal component belonging to the heart rate frequency band; the frequency domain analysis module is used for obtaining a signal frequency spectrum of the pulse wave signal in a specific frequency band interval set in advance; the heart rate frequency point selection module is used for obtaining the frequency point corresponding to the heart rate and outputting the frequency point. The influences of human motion and muscle motion on heart rate analysis are eliminated; the hardware cost is reduced; the concerned frequency band interval can be flexibly selected; the frequency domain accuracy of the signal is improved only within the concerned frequency band; excessive computing and storage overheads are avoided.

The invention discloses a heart rate detecting device which comprises a finger clamp, a signal collecting amplification circuit, a single-chip microcomputer, a WIFI module and APP installed on an intelligent device. The finger clamp is connected with a display screen. A battery is installed in the finger clamp and electrically connected with the signal collecting amplification circuit, the single-chip microcomputer and the WIFI module. The output end of the signal collecting amplification circuit is connected with an external interrupt port of the single-chip microcomputer. The output end of the single-chip microcomputer is electrically connected with the WIFI module and the display screen. The single-chip microcomputer is in wireless communicating connection with the intelligent device through the WIFI module. The intelligent APP obtains heart rate information through the WIFI module. A patient can use the device for detecting the heart rate every day, obtained heart rate data is stored in the intelligent device through the intelligent APP, when it is necessary, the patient directly transmits the heart rate data to a hospital from the intelligent APP, a doctor analyzes the heart rate of the patient within a certain period of time according to the heart rate data, some diseases can be observed easily for a long term, the patient does not need to be hospitalized to be monitored, and labor is saved.

The invention is a smart campus system and relates to the field of network technology. The smart campus system of the invention includes an attendance positioning subsystem, a heart rate monitoring subsystem, a sleep analysis subsystem, a motion analysis subsystem, a mobile payment subsystem, an environment monitoring subsystem, and a campus application subsystem, which are connected with a campuscenter management system through the network. The attendance positioning subsystem includes a personnel positioning module, a campus attendance module, an RFID sign-in module, and a Bluetooth sign-inmodule. The heart rate monitoring subsystem includes a heart rate monitoring module, a heart rate analysis module, and a health early warning module. The sleep analysis subsystem includes a sleep molecular module and a sleep aid module. The motion analysis subsystem includes a step count statistics module, a riding statistics module, a running statistics module, and a motion trajectory module. The mobile payment subsystem includes an intelligent traffic module, a cafeteria consumption module, a merchant consumption module, and a UnionPay sub card module.

The invention discloses a fear nervous emotion recognition method based on video eye movement and heart rate analysis, and proposes that a Relief feature selection method is used for optimal selection analysis of two physiological signals by utilizing a mode of combining eye movement in a video and remote non-contact heart rate estimation. Finally, a k-nearest neighbor (kNN) algorithm and a least squares support vector machine (LS-SVM) algorithm are adopted to recognize and judge the fear and tension mental state of the person. The method relates to the technical field of video analysis. The fear nervous emotion recognition method based on video eye movement and heart rate analysis can solve the problems that in the prior art, an abnormal emotion recognition method is restricted by the cooperation degree of a detected person, a test method is not secret and the test efficiency is low, an abnormal data processing mechanism is introduced through eye movement data analysis, the algorithm efficiency is improved, and a feature selection method is adopted, so that the feature dimension is reduced, and the abnormal emotion recognition of similar criminal knowers is effectively improved while the training time is shortened.

The invention discloses a blood pressure and heart rate test instrument which comprises a blood pressure and heart rate acquisition module, a blood pressure and heart rate monitoring judgment module and a blood pressure and heart rate analysis module, wherein the blood pressure and heart rate acquisition module is used for obtaining and acquiring blood pressure and heart rate signals in the whole measurement process; the blood pressure and heart rate monitoring judgment module is used for preliminarily judging whether the signals obtained by the blood pressure and heart rate acquisition module are normal or not; the blood pressure and heart rate analysis module is used for analyzing states of blood pressure and heart rate in an exceptional situation and comprises a fuzzy self-learning setting module, a blood pressure and heart rate exception mathematic model library, a man-machine interface program module, a communication program module, a fault diagnosis module, a system comprehensive configuration module and data analysis storage and USB (universal serial bus) interface drive modules, and the modules are mutually triggered and coordinated by adopting a message mechanism. The blood pressure and heart rate test instrument can effectively perform subdivision on bradycardia, tachycardia, sinus arrest, dropped beat, premature beat, RonT and sinus arrhythmia in an arrhythmia situation and effectively give users a prompt.

The invention relates to a treadmill speed change control method and device based on heart rate analysis and a computer storage medium, and the method comprises the following steps: obtaining the basic information of a user, and setting the maximum heart rate of the user according to the basic information; establishing a mapping relationship between different training targets and a heart rate interval, wherein the heart rate interval is a proportion interval of the maximum heart rate; acquiring a demand training target input by a user, and selecting a corresponding applicable heart rate interval for the user according to the demand training target; and obtaining heart rate data of the user during running, judging whether the heart rate data is within the applicable heart rate interval or not, and if not, adjusting the running speed of a treadmill. The running speed is adjusted based on user requirements and heart rate analysis, the training effect of the user is improved to the maximumextent, and meanwhile the training safety of the user is guaranteed.

The invention provides wearable equipment capable of monitoring heart rate in real time and a working method thereof and belongs to the technical field of wearable equipment. The wearable equipment comprises a wearable equipment body and a heart rate monitoring card and is characterized in that a user can wear the wearable equipment body, and the heart rate monitoring card is placed in the wearable equipment body; the heart rate monitoring card is used for monitoring and analyzing the heart rate of the corresponding user when the user wears the wearable equipment body. The wearable equipment has the advantages that the relative position between a heart rate monitoring sensing device used by the heart rate monitoring card and a human body is not sensitive to measuring data, so that detection precision is increased; meanwhile, the equipment can perform abnormity detection on the collected heart rate and transmits the detection result to the terminal equipment to allow a monitoring personto be able to timely learn about the heart rate state of a to-be-monitored person; during the abnormity detection, the heart rate analysis uses a convolutional neural network, so that analysis precision is increased.

The invention relates to an intelligent nerve pressure reduction system, which comprises an electroencephalogram collection module used for monitoring electroencephalogram signals; a physiological index collection module used for monitoring blood pressure and heart rate; an analysis control module used for controlling the first stimulation module and the second stimulation module to work independently or simultaneously according to the monitored electroencephalogram signal, blood pressure and heart rate, and controlling the working modes of the first stimulation module and the second stimulation module; a first stimulation module used for stimulating the outer side area of the end abdomen of the medulla oblongata head; a second stimulation module used for stimulating the isolated beam nucleus; and each of the first stimulation module and the second stimulation module comprises at least two different stimulation units. Non-invasive blood pressure adjustment and control can be implemented, and the problems of low control rate and high side effect in hypertension treatment are relieved or eliminated.

The invention relates to a heartbeat detection method based on a ballistocardiogram. The heartbeat detection method comprises steps of signal filtering, template extraction, similarity comparison, dynamic threshold positioning and the like. The method specifically includes: signal filtering: suppressing high-frequency interference and low-frequency drift noise in the received BCG signal through adigital FIR band-pass filter; template extraction: requiring a testee to remain stationary for a period of time TA at the beginning of the test; calculation of correlation coefficient: in a relativelyshort time, the extracted template has an extremely high linear correlation with the correct waveform collected in real time, and Pearson correlation coefficient can indicate the similarity between the sample collected in real time and the template extracted in the step; and a multi-parameter adaptive adjustment and judgment algorithm, which can further improve accuracy of heartbeat position judgment. The method can quickly extract BCG template waveform suitable for a current subject, and obtain accurate heartbeat position through waveform comparison and detection optimization algorithm, andprovides a basis for heart rate analysis based on non-invasive heartbeat chart.

The invention relates to a heart rate analysis method and equipment based on a millimeter wave radar. The method comprises the steps of: collecting heartbeat waveform data, including noise, of a front life body through a millimeter wave radar device; sampling and filtering the heartbeat waveform data; sampling the heartbeat waveform data subjected to filtering processing, and calculating time-frequency characteristics; creating a convolutional neural network, taking the time-frequency characteristics as input of the convolutional neural network, and outputting sample entropy of the heart rate and heartbeat waveform data; and determining the optimal heart rate monitoring position of the millimeter wave radar device through the sample entropy. According to the invention, heart rate measurement is accurate, and a user can be guided to correctly use the equipment.

The invention relates to a technical scheme of a radar-based heart rate analysis method and equipment, and the method comprises the steps of: acquiring heart rate data of a plurality of different positions collected by a millimeter wave radar device, and carrying out de-noising processing on the heart rate data to obtain de-noised waveform data; creating a full convolutional neural network, and training the full convolutional neural network to obtain a heart rate detection model; calculating a sample entropy for the de-noised waveform data; adjusting the millimeter wave radar device to obtain the de-noised waveform data of multiple different positions to calculate the sample entropy, and selecting the position with the minimum sample entropy for continuous heart rate monitoring. The method and the equipment provided by the invention have the advantages that: the practicability of the equipment for monitoring the heart rate through the millimeter wave radar is greatly improved, and the accuracy of heart rate detection is improved.

The invention discloses a novel medical wristlet. The novel medical wristlet structurally comprises a magnet positive plate, a connecting block, an anti-slip strip, an information sample strip plate, a heart rate monitor, a wristlet main body and a magnet negative plate, wherein the magnet positive plate is connected with the connecting block, and the heart rate monitor consists of a display, tempered glass, a machine body, a voltage converter, a reservoir capacitor, a photoelectric sensor, a signal filter, a signal amplifier, an output device, a data converter, a scanner, a data acquisition unit and a laser transmission tube. The novel medical wristlet is provided with the heart rate monitor, is ultralow in power consumption and ultralong in standby time, carries out automatic detection in case of lead-fail, is lightweight, thin and comfortable and is 15g only. Heart rate and respiration are monitored uninterruptedly in 24 hours, including sleeping or slight-motion states, electrocardiosignals are automatically acquired, and symptomatic and asymptomatic arrhythmia is automatically captured; a 3D sensor is integrated, behavioral changes are acquired, heart rate analysis is cooperated, and data can be automatically uploaded to a data center through a repeater.

According to the technical scheme, the invention relates to a heart rate analysis method, device and equipment, and the method comprises the steps of: acquiring waveform data of a heart rate with noise, and carrying out denoising preprocessing; creating a deep residual network, performing first sampling on the preprocessed waveform data, inputting the waveform data subjected to the first sampling into the deep residual network, and performing training to obtain a classification category and an error level of the heart rate; carrying out visualization processing on the sampled waveform data; taking the sampled waveform data as annotation data; adjusting the searching position of a millimeter radar wave, acquiring a plurality of heart rate measuring positions, and taking the position with the minimum heart rate error grade as the optimal monitoring position. The invention has the beneficial effects that the heart rate is accurately measured, so that a user can be guided to correctly use equipment; and data visualization is realized, so that the mode in the data is easier to find.

The invention discloses an intelligent X-ray machine facial information acquisition and processing system, and relates to the field of patient state monitoring systems. According to the intelligent X-ray machine facial information acquisition and processing system, a camera acquisition device is provided with an acquisition camera for collecting facial image data information in real time; the camera acquisition device is provided with a visible light LED for illuminating the skin and blood vessels of the face; the camera acquisition device is provided with a photoelectric sensor for receivingreflection fluctuation values of skin and blood vessels of the face; the system comprises an acquisition camera unit, a heart rate analysis unit, a patient information database, a heart rate databaseand an X-ray machine system. According to the intelligent X-ray machine facial information acquisition and processing system, the visible light LED and the photoelectric sensor are cooperated with each other on the camera acquisition device, corresponding analysis is carried out, the heart rate data of the patient undergoing X-ray irradiation inspection is obtained; the facial information of the current patient is shot and extracted through the camera, the representational judgment of the patient's state can be directly performed, so that the sudden situation of the patient with poor heart rate can be effectively detected in time.

The invention discloses a heart rate analysis method. Focusing on the problem that in the prior art, heart rate detection data is not fully utilized, the following technical scheme is provided. Heartbeat data and respiration data of a person to be tested in a period are collected, and the maximum heart rate Hmax, the minimum heart rate Hmin, the maximum respiration frequency Rmax and the minimum respiration frequency Rmin of the person to be tested are determined; the heart rate H and respiration frequency R of the person to be tested in any time t of a period T are calculated according to the formula as shown in the description, wherein P is the heart rate deviation ratio, Q is the respiration deviation ratio and U is fatigue; if the fatigue U is larger than the maximum fatigue value M, it is determined that the heart of the person to be tested is in an over-fatigue state, and a rest is needed. The fatigue reflects the fatigue state of the heart of a person, whether or not the person to be tested is tired is judged through the calculated fatigue, so that the person to be tested is informed in time to take a rest when the heart is tired, and the heart rate detection data is utilized more fully.

The present invention relates to a heart rate analysis method and equipment based on an electrocardiogram, wherein the heart rate analysis method includes: obtaining specific cardiac cycle data according to the electrocardiogram; drawing a heart rate scatter diagram based on the cardiac cycle data; Two adjacent scatter points to obtain multiple vectors; draw the raster diagram of the vectors in the time order of the vectors, where the time order of the vectors is consistent with the time order of the scatter points used to form the vector; determine the cardiac cycle whether the data is within the predetermined normal value range; and plot the cardiac cycle data not within the normal value range in the grid chart according to the time correspondence. The present invention superimposes the cardiac cycle data in the electrocardiogram into the vector raster diagram, so that the doctor can not only visually see the starting point of the continuous arrhythmia, but also can visually see the duration of the continuous arrhythmia, which is beneficial Doctor's diagnosis.

The invention discloses a sphygmomanometer with a heart rate analysis module. The sphygmomanometer comprises a blood pressure measuring device for measuring the blood pressure of a user, a host which comprises a sphygmomanometer microprocessor and can process signals related to the blood pressure, a control panel which is arranged on the host and can control the blood pressure measurement and heart rate analysis function of the sphygmomanometer, first display equipment for displaying the blood pressure measuring result of the sphygmomanometer and second display equipment for displaying a heart rate analysis result of a heart rate analysis module.