8 results about "High heart rate" patented technology

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 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.

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.

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.

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.

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 application discloses a driver heart rate detection method and device based on signal quality evaluation, and belongs to the technical field of video non-contact heart rate detection. The method comprises the following steps: collecting a face video signal of a driver, obtaining a face detection area through the face video signal; dividing the face detection area, obtaining a face pulse signal based on the face detection area, and processing the face pulse signal; performing signal quality evaluation on the processed face pulse signal; and performing heart rate detection by using the evaluated face pulse signal. By introducing the signal quality evaluation, the driver face pulse signal quality collected is evaluated in real time, the heart rate detection strategy is adjusted according to the evaluation result, the detection strategy can be adaptively adjusted under different vehicle-mounted environments, the motion interference and light interference of the heart rate detection under the vehicle-mounted environment are overcome, and the robustness of the heart rate detection is improved.