34 results about "High heart rate" patented technology

The invention provides a heart rate and breath prediction method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original signal sequence acquired from a human body through an ultra-wideband radar; determining a thoracic cavity displacement signal according to a mapping relation between the phase change and thoracic cavity displacement; performing multi-domain feature extraction on the thoracic cavity displacement signal to obtain multi-domain features; the multi-domain features comprise time domain features, frequency domain features and time-frequency domain features; on the basis of the multi-domain features, prediction values are obtained through a pre-trained prediction model, and the prediction values comprise the heart rate and the respiratory rate in the future time period. The robustness of the algorithm is enhanced through multi-dimensional feature fusion, high precision is still kept in an electromagnetic interference or multi-target scene, and the reliability of heart rate and respiratory rate prediction in a complex environment is improved. The physical signal advantage of the ultra-wideband radar is complementary with the environmental adaptability of the neural network, and the prediction accuracy of the heart rate and respiratory rate is improved.

The invention provides a vital sign detection method and device based on a millimeter wave radar, electronic equipment and a storage medium. The method comprises the following steps: obtaining a distance frequency domain signal based on a radar echo signal; performing spectral analysis on the distance frequency domain signal, positioning the position of the to-be-detected object, and extracting phase information at the position; filtering through a band-pass filter to obtain a breathing frequency band interval signal and an initial heartbeat frequency band interval signal; performing real-time respiration rate estimation based on the respiration frequency band interval signal to obtain a respiration frequency, and eliminating respiration harmonics in the initial heartbeat frequency band interval signal by using an adaptive wave trap based on the respiration frequency to obtain a heartbeat frequency band interval signal; and with the minimum fuzzy entropy as an optimization target, decomposing the heartbeat frequency band interval signal by using a variational mode decomposition algorithm to obtain a heartbeat signal, and carrying out real-time heart rate estimation based on the heartbeat signal to obtain a real-time heart rate. According to the method, the device, the electronic equipment and the storage medium provided by the invention, the accuracy of heart rate measurement can be improved.

The invention discloses a heart rate measurement method and system based on time-frequency fusion and dynamic gating attention, and the method comprises the steps: firstly carrying out the preprocessing of an acquired face video sequence, and obtaining a stable input image sequence; thirdly, extracting a three-dimensional feature map and time sequence features which change along with time through a time-frequency convolutional network; a time-frequency fusion module is constructed, complementary time-frequency features are obtained through time-domain convolution and frequency-domain wavelet decomposition, and feature adaptive fusion is realized by using a dynamic gating mechanism; and the local time relevance of the features is enhanced through a local sliding window attention module. And inputting the three-dimensional convolution features into a prediction module, performing regression to generate a remote photoelectric volume pulse wave signal, and performing frequency domain analysis on the signal to estimate the heart rate. According to the method, pulse related signals can be stably extracted under the conditions of illumination variation and slight head movement, and the method has high heart rate estimation precision and environment robustness and can be used for non-contact vital sign monitoring application.

A system for testing medications for cardiac activity at elevated heart rates utilizes an array of electrodes connected to a computer and cardiomyocyte samples on the electrodes. Software implements an electrical stimulation protocol in a method of delivering an electrical signal at a baseline frequency to stimulate respective cardiomyocyte samples and calculating a functional refractory period (mISI) for the respective cardiomyocytes at the baseline frequency along with increased respectively applied frequencies of consecutive electrical signals.

The application provides a heart rate detection module and an electronic device; wherein the heart rate detection module comprises a light emitting element, a light receiving element and a Fresnel film; the light emitting element and the light receiving element are arranged in optical isolation, the Fresnel film is located on the same side of the light emitting element and the light receiving element, and the light emitting surface of the light emitting element faces the Fresnel film; the Fresnel film has a light absorbing medium therein, and the light absorbing medium is located between the light emitting element and the light receiving element in the direction perpendicular to the Fresnel film. According to the heart rate detection module and the electronic device provided by the application, the crosstalk phenomenon of the detection light emitted by the light emitting element in the Fresnel film can be reduced / attenuated, that is, the light leakage in the Fresnel film can be effectively inhibited to weaken the light noise of the heart rate measurement, and the signal-to-noise ratio of the heart rate detection module can be improved.

The present application relates to the technical field of heart rate detection, and particularly relates to a wearable underwear heart rate detection method and system, the method comprising the following steps: acquiring motion information of a user, identifying a specific body posture change based on the motion information of the user; generating a physiological artifact signal related to the specific body posture change based on the specific body posture change; removing the physiological artifact signal from an original physiological signal to obtain a purified physiological signal; and performing heart rate anomaly judgment on the purified physiological signal. Through the above scheme, the physiological artifact signal can be effectively removed, and the accuracy of heart rate detection is improved.

The present application relates to the technical field of wearable devices, in particular to a method for calibrating earphone heart rate error based on a sports knowledge graph and related devices. The method comprises the following steps: obtaining multi-modal physiological data of a user wearing an earphone during sports, the multi-modal physiological data including photoplethysmographic wave signals collected by an optical heart rate sensor and the like. The present application structures the complex mapping relationship between different sports state types, sports intensity levels and heart rate error characteristics by constructing a sports knowledge graph, thereby achieving explicit modeling of the correlation between sports artifacts and heart rate signals. Compared with traditional heart rate calibration methods based on statistical filtering or a single deep learning model, the present application uses the topological structure information of the knowledge graph to better capture the deep semantic correlation between sports states and heart rate errors, thereby achieving higher heart rate monitoring accuracy in various sports scenarios.

A computer game as presented from spectator side may use clusters of marginally high heart rate to infer something interesting occurring on platform, which may be used in turn for video bookmarking highlights, other uses on the platform.

The invention discloses an ultrahigh heart rate anomaly detection method based on real-time signal processing, and relates to the technical field of pet health monitoring. According to the ultrahigh heart rate anomaly detection method, local low-delay processing is achieved by fusing multi-modal physiological signals and utilizing edge calculation, signal preprocessing is conducted through band-pass filtering, self-adaptive Kalman filtering and the like, and the abnormal heart rate is obtained. Multi-time scale feature extraction is combined with pet state vectors to dynamically adjust feature weights, an improved attention mechanism neural network and support vector machine secondary classification and a posterior probability fusion algorithm are used to improve classification precision, and a dynamic threshold mechanism and a grading early warning mechanism are used to match response intensity according to abnormal duration, so that the classification accuracy is improved. According to the invention, accurate and real-time monitoring of the abnormal ultrahigh heart rate of the pet is realized, an efficient and reliable detection process is provided for health management of the pet, and the method has important significance for early detection of potential diseases of the pet.

The application is suitable for the field of remote physiological parameter monitoring, and provides a heart rate determination method and device based on a region of interest and an electronic device, which comprises the following steps: acquiring a video stream comprising a face of a user to be measured; performing region of interest detection on the video stream by using at least two region of interest templates to obtain corresponding regions of interest; for each region of interest, determining a time sequence signal corresponding to the region of interest, performing blind source separation on the time sequence signal by using an independent component algorithm to obtain an independent component signal related to a heart rate, and calculating the heart rate according to the independent component signal to obtain a heart rate corresponding to the region of interest; determining a weight value of each region of interest; and determining a heart rate of the user to be measured according to the weight value and the heart rate corresponding to each region of interest. By using the above method, local abnormal disturbance can be inhibited, and the accuracy of the heart rate can be improved.

This application provides a method, program product, electronic device, and storage medium for predicting heart rate and respiratory rate. The method includes: acquiring the original signal sequence collected from the human body via ultra-wideband radar; determining the chest cavity displacement signal based on the mapping relationship between phase change and chest cavity displacement; extracting multi-domain features from the chest cavity displacement signal to obtain multi-domain features, including time-domain features, frequency-domain features, and time-frequency-domain features; and obtaining predicted values ​​based on the multi-domain features using a pre-trained prediction model, the predicted values ​​including heart rate and respiratory rate in the future time period. Multi-dimensional feature fusion enhances the robustness of the algorithm, maintaining high accuracy even under electromagnetic interference or multi-target scenarios, improving the reliability of heart rate and respiratory rate prediction in complex environments. The physical signal advantages of ultra-wideband radar complement the environmental adaptability of neural networks, improving the accuracy of heart rate and respiratory rate prediction.

The invention discloses a watch heart rate monitoring method and device based on TEC temperature control, and solves the problem of inaccurate heart rate monitoring caused by the fact that the influence of temperature on a photoelectric sensor is not considered when a smart watch photoelectric measurement method is used for measuring the heart rate in the prior art. Comprising the following steps: acquiring the surface temperature of LED lamp beads at the bottom of the watch or the ambient temperature in real time; according to the target temperature range and the current temperature value, the TEC working mode is adjusted based on a preset temperature control algorithm; continuously detecting the temperature of the LED lamp bead, and dynamically adjusting the working power of the TEC according to the temperature change trend; after the temperature of the watch is stabilized within the target temperature range, photoelectric signals are collected for heart rate monitoring. The light source temperature can be stabilized in the optimal working temperature interval, and the accuracy of heart rate measurement is improved.

The application discloses a heart rate estimation method and device based on a face video, which estimates a heart rate value through analysis of the face video, comprises the following steps: pre-processing a face video to obtain a video data set, and dividing the video data set into a training set, a verification set and a test set; constructing a fusion network comprising a ResNet network and a ConvLSTM network, the ResNet network comprising a bottleneck residual module to improve the performance of the ResNet network; inputting the training set into the fusion network and training to obtain a network training model; inputting the verification set into the network training model for verification, and calculating a loss through a loss function to obtain a final network training model; inputting the test set into the final network training model to obtain a heart rate estimation value; and cross-dataset testing to improve the precision of the model. The application increases the bottleneck residual module in the ResNet network, improves the calculation efficiency of the ResNet network, enables the ResNet network to better train a neural network with a large depth, and through the fusion of the ConvLSTM network, global features can be fully utilized to improve the accuracy of the heart rate estimation value.

The application provides a heart rate warning method and an electronic device. The method comprises the following steps: obtaining a maximum heart rate value of a target user based on the age of the target user and a preset first algorithm model, wherein the first algorithm model is a nonlinear relationship between the maximum heart rate value and the age parameter; determining a warning heart rate value corresponding to the target user according to the maximum heart rate value of the target user; collecting a first heart rate value of the target user in real time, and starting timing if the first heart rate value is greater than or equal to the warning heart rate value and the current timing is not started; monitoring the first heart rate value of the target user collected after the timing is started, and issuing a heart rate warning information if the timing time reaches a first time length and all the first heart rate values monitored in the first time length are greater than or equal to the warning heart rate value. In this way, a more accurate maximum heart rate of the user can be obtained, the estimation accuracy of the maximum heart rate is improved, the accuracy of the heart rate warning is improved, and the health risk is reduced.

The application discloses a kind of heart sound abnormality detection method and system based on earphone, belong to signal processing technical field.The method includes: obtaining the earphone microphone collected ear sound signal;Based on the physical information neural network constructed in advance, the ear sound signal is calculated inversely;Based on the constructed neural network, the mapping of inverse signal and real heart sound label is completed, and the reconstructed heart sound chart is obtained;Based on the reconstructed heart sound chart, abnormality detection identification is carried out;Physical information neural network includes source pulse wave inversion network HemoNet and source heart sound inversion network CardiNet;HemoNet is obtained in ear drum at arterial pulse pressure wave by ear sound signal inversion, and source pulse wave is obtained at heart;CardiNet is inverted into source heart sound signal at heart by heart sound collected in thoracic cavity;MappingNet generates heart sound signal by source pulse wave signal mapping, and obtains reconstructed heart sound chart.Improve the physical consistency and accuracy of reconstructed signal, realize accurate inversion source pulse wave signal and heart sound reconstruction, improve the convenience and accuracy of heart rate monitoring.

The invention relates to a PPG sensing module, electronic equipment, wearable equipment and a physiological information detection method. The PPG sensing module comprises at least three light-emitting assemblies which are used for emitting light signals; the light detection module is used for generating a plurality of detection signals according to the light signals emitted by the light-emitting assemblies; each light sensor and at least two light-emitting assemblies form a first measurement channel, and the light sensor and at least one light-emitting assembly except the first measurement channel form a second measurement channel; the length of the first measuring channel is smaller than that of the second measuring channel. The PPG module can improve the heart rate and blood oxygen detection accuracy at the same time.

The invention discloses a millimeter wave radar heart rate estimation method and device based on Hilbert transform. The method comprises the steps that echo data containing human chest wall infinitesimal displacement information is collected through a millimeter wave radar, the chest wall position is positioned, and phase information is extracted to obtain vital sign signals; the method comprises the following steps of: processing a signal by adopting a sliding time window, solving an instantaneous phase in each window through improved Hilbert transform, periodically calculating a candidate heart rate estimated value through the slope of a regression fitting straight line based on the corresponding relationship between time and the phase in a window sliding process, and carrying out time sequence constraint on the candidate heart rate value, so as to obtain an estimated value of the heart rate. And isolated abnormal values and non-physiological jumps are inhibited. According to the method, improved Hilbert transform is applied, the problem that hopping is prone to occurring at the two ends of a window in a conventional method is solved, and the accuracy and stability of heart rate estimation are improved in combination with a heart rate estimation method based on regression fitting and heart rate time sequence constraint.

The application discloses a kind of trustable devices for unit physical training detection, specifically relates to physical detection technical field, including physical examination integrated equipment, backend system and blockchain bottom layer, physical examination integrated equipment and backend system are connected with each other to exchange data, physical examination integrated equipment and backend system are also connected with blockchain bottom layer, and data is chained and exchanged;The physical examination integrated equipment includes running physical information acquisition module, data cache, blockchain gateway and TEE trusted environment, the running physical information acquisition module is used to collect average heart rate, maximum heart rate, step number, kilometer number, time parameter, and the data cache is used to cache the data obtained by running physical information acquisition module.The application can ensure the accuracy of the collected parameters by chaining the collected running-related parameters, avoid human factors affecting the assessment results, and the chained data cannot be modified again.

The application discloses a multi-interest region tracking and selecting method for video heart rate detection, which comprises the following steps: reading the first frame image of a face video, extracting face feature points, dividing the face skin region into 18 symmetrical sub-regions, and taking each two symmetrical sub-regions as one interest region; calculating the distance from the nose tip to the eyes to determine whether the head is rotated greatly, and discarding the sub-region which is shielded in the interest region if the head is rotated greatly; averaging the pixels in the green channel of each interest region to obtain 9 signal values; processing the subsequent video frames by repeating the above steps to obtain 9 signal streams; calculating the spectrum of each signal stream, selecting the peak with the highest occurrence frequency, and taking the frequency of the peak as a reference frequency; and calculating the heart rate values of the 9 signal streams respectively, and selecting the heart rate value closest to the reference frequency as the final heart rate value. The application can reduce motion interference, adaptively select the best signal, and improve the accuracy of heart rate estimation.

This application discloses a heart rate detection method and apparatus. The method involves determining a first motion index of the user during the recording of a video including the user; then, based on the first motion index, determining at least one first video segment included in the video, in which the user's motion amplitude is less than a first threshold corresponding to the first motion index; and finally, determining the user's heart rate based on the first video segment. Specifically, within the first video segment, the user remains stationary or the user's motion amplitude is small. Correspondingly, the same area in each frame of the first video segment often includes the same part of the user's body. In this case, the accuracy of determining the user's heart rate through the first video segment is high. In other words, the solution provided by the embodiments of this application can improve the accuracy of heart rate detection.

The invention discloses a heart rate detection method and system, electronic equipment and a computer readable storage medium. The method comprises the steps that first heart rate data obtained by measuring a to-be-detected object through a non-contact sensor and second heart rate data obtained by measuring the to-be-detected object through a contact sensor are obtained; calibrating the non-contact sensor based on the first heart rate data and the second heart rate data; obtaining an initial heart rate value obtained by measuring the to-be-detected object by the calibrated non-contact sensor and a corresponding signal distortion degree; and obtaining a heart rate detection result based on the initial heart rate value and the signal distortion degree. Through the method, the accuracy of heart rate detection can be improved, and the power consumption in the heart rate detection process can be reduced.

The application provides a PPG-based head-mounted heart rate detection method, a heart rate detection system for implementing the method and a head-mounted device. The PPG-based head-mounted heart rate detection method comprises the following steps: collecting PPG and ACC data at a forehead vein; data preprocessing; adopting the adaptive motion mode heart rate detection method as claimed in claim 1; and heart rate post-processing. The motion mode related heart rate detection technology suitable for real-time detection is provided, different heart rate extraction optimization algorithms can be selected according to different motion modes, the implementation complexity of the algorithm is reduced, and the accuracy of heart rate detection is improved.

The utility model relates to the field of heart rate monitoring equipment, in particular to a heart rate monitoring watch with high wearing comfort, which comprises a heart rate monitoring watch case, a rear cover fixedly mounted at the lower end of the heart rate monitoring watch case, shielding pieces fixedly mounted at the left end and the right end of the rear cover, a first watchband arranged at the left end of the heart rate monitoring watch case, and a second watchband arranged at the right end of the watchband. A second watchband is arranged at the right end of the heart rate monitoring watchcase, strip-shaped through grooves are formed in the first watchband and the second watchband, a connecting buckle seat is fixedly installed at the end, away from the heart rate monitoring watchcase, of the second watchband, an extending piece is fixedly installed at the end, away from the second watchband, of the connecting buckle seat, and a clamping protruding block is fixedly installed in the connecting buckle seat; according to the heart rate monitoring watch, the back cover with the cambered surface is more attached to the skin of the wrist, the shielding piece is matched to prevent the rotating connection structure from directly attaching to the skin to rotate, abrasion to the skin is reduced, the extending piece enables transition of the buckling and stacking position to be smoother, and the attaching performance of overall wearing of the heart rate monitoring watch can be improved.

A detecting method for a behavior disorder event during rapid-eye-movement sleep is provided. The detecting method includes: collecting a heart rate value and a motion value of a user per epoch within a time period; generating a plurality of corresponding sleep condition values by using the motion values, to distinguish epochs into an awake period and a sleep period; transforming the motion values corresponding to the sleep period into a score according to a predetermined rule, to generate a plurality of sleep depth scores, and distinguishing the sleep period into a light sleep period and a deep sleep period by using the sleep depth scores; grouping the heart rate values corresponding to the deep sleep period as a high heart rate group and a low heart rate group; and determining, when the motion values corresponding to the high heart rate group satisfy a condition, that a behavior disorder event happens.

The utility model discloses a high accuracy heart rate detector for sports training belongs to sports training heart rate detection technical field, this high accuracy heart rate detector for sports training, including heart rate detection mechanism, heart rate detection mechanism includes first photoelectric sensor and second photoelectric sensor, installs transmission frame, and the transmission frame includes transmission frame, and the transmission frame includes upper side board, and the one end of upper side board is hinged with lower side board, and the bottom fixed mounting of lower side board has base, the one end of transmission frame is installed with hinged component, and hinged component is connected with the one end transmission of transmission frame, and the other end transmission of transmission frame is installed with supplementary locking assembly, and supplementary locking assembly is locked with transmission frame spacing, adopts first photoelectric sensor and second photoelectric sensor, and double sensor detects from the wrist upper and lower different position, can more comprehensive, accurately capture pulse signal, effectively improves the precision of heart rate detection, and provides reliable data support for sports training.

A heart rate detection method, a heart rate detection apparatus and an electronic device are provided. The heart rate detection method includes: acquiring a heart rate detection light signal, where the heart rate detection light signal is a light signal that is emitted upward from a ring light-emitting region of a display screen and enters a capturing region after being reflected by a finger of a user, and an intermediate region surrounded by the ring light-emitting region is a non-light-emitting region (601); and determining a heart rate of the user according to the heart rate detection light signal (602). According to the method, the accuracy of heart rate detection could be effectively improved.

The invention is suitable for the technical field of image processing, and provides a heart rate calculation method and device based on independent components and electronic equipment. Performing region-of-interest detection on the video stream to obtain a region-of-interest sequence; for each region-of-interest in the region-of-interest sequence, calculating a spatial average value of the region-of-interest in each channel; determining a time sequence signal corresponding to each channel according to the space average value of each region of interest in each channel; constructing a mixed signal matrix according to the time sequence signal corresponding to each channel; according to the mixed signal matrix and a preset objective function, the separation matrix to be iterated is iterated until one of the following iteration stopping conditions is met, and a target separation matrix is obtained; converting the mixed signal matrix into an independent component matrix according to the target separation matrix; and calculating the heart rate according to the independent component matrix. Through the method, the accuracy of the heart rate can be improved.

The present invention relates to the technical field of medical instruments. Provided are a sequential balloon pulsatile blood pump for an artificial uterus, and a system and a method. The blood pump comprises: a pump body, which is arranged in a blood flow circuit of an artificial placenta and comprises a first pump chamber and a second pump chamber, wherein the first pump chamber and the second pump chamber are connected in parallel by means of a conduit, and two ends of the conduit are respectively an inlet end and an outlet end of blood, the inlet end being in communication with an umbilical artery of a fetus, and the outlet end being in communication with an umbilical vein of the fetus by means of an oxygenator; a controller, which is in communication connection with both a first air pouch assembly and a second air pouch assembly; and a heart acquisition unit, which is arranged on the outer surface of an artificial uterus and is in communication connection with the controller. The present invention has advantages, such as being capable of generating a pulsating blood flow, adapting to the high heart rate of a fetus, not affecting a cardiac afterload balance of the fetus, and preventing umbilical vascular intubation spasm.

The application discloses a method for overcoming rPPG signal motion artifact and improving heart rate detection accuracy. The method flow comprises: inputting a video containing a face; detecting a face area by using a face detection algorithm, and segmenting the face skin; extracting original RGB signals in the face area and acquiring three-axis motion information by using feature point tracking; performing dimension reduction on the RGB signals, and extracting rPPG signals; classifying the rPPG signals by using the motion information, and adaptively selecting three-dimensional cascade adaptive filtering and trajectory energy attenuation spectrum subtraction for noise reduction to overcome motion artifacts; and solving a heart rate trajectory in a frequency domain of the rPPG signals by using a hidden Markov model. The application effectively improves the accuracy of heart rate estimation in a motion scene from two aspects of improving signal signal-to-noise ratio and robust heart rate estimation.

The embodiment of the invention provides a heart rate correction method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a heart rate signal, and calculating the signal quality score of the heart rate signal and the current detection heart rate according to the heart rate signal, and taking the signal quality score and the current detection heart rate as heart rate parameters; whether the heart rate parameter meets a first condition and a second condition or not is judged, the first condition includes that the signal quality score of the heart rate signal meets a preset requirement, and the second condition includes that the difference between the current detected heart rate and the final heart rate at the last moment does not exceed a preset threshold value; and determining the current final heart rate according to the judgment result of whether the heart rate parameter meets the first condition and the second condition or not. The accuracy of heart rate detection can be improved.