15 results about "Heart rate analysis" patented technology

The invention discloses an emotion recognition system and method based on a large model, and relates to the field of data analysis, and the method comprises the steps: collecting facial physiological dynamic data, including specific muscle group motion data and photoelectric volume pulse wave signals, of a person in a calm state, and establishing a reference contraction frequency and a reference heart rate; analyzing data characteristics and calculating an amplification threshold and an enhancement threshold; collecting face data of a target person in real time, and extracting real-time contraction frequency, duration of the real-time contraction frequency exceeding a critical value and real-time heart rate; and judging the emotional state by comparing the amplification and enhancement of the real-time data and the reference value. The system comprises a reference establishment module, a threshold calculation module, a real-time monitoring module, a state identification module and the like. According to the method, non-invasive, objective and accurate emotion recognition is realized through multi-modal physiological signal analysis, and the method has the advantages of high real-time performance and high accuracy.

The invention relates to the technical field of medical care, in particular to a cardiovascular disease risk dynamic early warning system based on multi-source data fusion, and the system comprises the steps: obtaining ejection fraction, coronary artery stenosis percentage and calcification integral data of cardiovascular examination of a monitored object, and heart rate data and pulse pressure difference data of periodic signs; determining a physical examination abnormal coefficient according to the difference between the ejection fraction and the standard value and the difference between the calcification integral data and the standard value and the coronary artery stenosis percentage; according to the height and slope difference of the ST wave band and the PR wave band, the heart rate analysis abnormal index is determined by combining the time interval of the adjacent electric activity wave bands; according to the time sequence change correlation of the heart rate data and the pulse pressure difference data, a physical sign abnormal coefficient is determined; determining a dynamic risk score in combination with the physical examination abnormal coefficient and the physical sign abnormal coefficient; and carrying out risk early warning based on the dynamic risk score. According to the invention, fusion analysis of multi-source and multi-dimensional data can be realized, and the dynamic early warning precision of cardiovascular risks is improved.

The application provides a monitoring system, a monitoring device and an atrial fibrillation presentation method. The atrial fibrillation comprehensive view is displayed by obtaining the heart rate analysis result and the atrial fibrillation analysis result according to the heart rate analysis result and the atrial fibrillation analysis result. The atrial fibrillation comprehensive view includes the heart rate information and the target heart rate identifier in the preset atrial fibrillation monitoring period, and the atrial fibrillation information in the preset atrial fibrillation monitoring period. The atrial fibrillation information includes at least one of the atrial fibrillation load, the atrial fibrillation occurrence frequency and the atrial fibrillation duration. The target heart rate identifier is used for identifying the preset target heart rate. Through the joint presentation of the atrial fibrillation and the heart rate, the quantitative analysis result of the atrial fibrillation event and the heart rate can be comprehensively and intuitively presented to the medical staff in a graphical manner, which helps the medical staff to understand the achievement of the heart rate control target of the atrial fibrillation patient and improves the atrial fibrillation management efficiency.

In some embodiments, a computer-implemented method of measuring heart rate analytics using raw photoplethysmography (PPG) data is provided. A computing system determines a plurality of frequency peaks in the raw PPG data using a Fourier analysis. The computing system determines a plurality of selected frequency peaks from the plurality of frequency peaks. For each selected frequency peak of the plurality of selected frequency peaks, the computing system creates filtered PPG data by applying a frequency of the selected frequency peak as a high-pass filter to the raw PPG data; detects diastole peaks and systole valleys in the filtered PPG data; and performs one or more pulse quality checks on the detected diastole peaks and systole valleys. The computing system uses diastole peaks and systole valleys associated with a lowest selected frequency peak that passed the pulse quality checks to determine a heart rate analytic measurement.

The invention relates to a heart rate analysis method, a heart rate analysis device, heart rate analysis equipment, a storage medium and a program product. The method comprises the following steps: fitting an initial high-frequency pulse signal generated by single-lead electrocardio equipment to obtain a fitted pulse signal, finally determining error information according to an electrocardio signal and the fitted pulse signal, and determining heart rate information of a target object based on the error information. In the method, the amplitude information can reflect the intensity of the cardiac electrical activity, and the frequency information can reflect the rhythm change of the cardiac electrical activity, so that the initial high-frequency pulse signal is fitted by combining the two kinds of information at the same time, and the electrocardiosignal can be more comprehensively and accurately simulated; therefore, the heart rate information determined according to the error information is more accurate.

In some embodiments, a computer-implemented method of measuring heart rate analytics using raw photoplethysmography (PPG) data is provided. A computing system determines a plurality of frequency peaks in the raw PPG data using a Fourier analysis. The computing system determines a plurality of selected frequency peaks from the plurality of frequency peaks. For each selected frequency peak of the plurality of selected frequency peaks, the computing system creates filtered PPG data by applying a frequency of the selected frequency peak as a high-pass filter to the raw PPG data; detects diastole peaks and systole valleys in the filtered PPG data; and performs one or more pulse quality checks on the detected diastole peaks and systole valleys. The computing system uses diastole peaks and systole valleys associated with a lowest selected frequency peak that passed the pulse quality checks to determine a heart rate analytic measurement.

The invention discloses a smart contract-based block chain insurance system, which comprises an information collection module, an audience analysis module and an insurance adjustment module, and is characterized in that the information collection module is used for collecting information when audiences watch films, and the audience analysis module is used for analyzing states of the audiences watching terrorism films in a cinema in real time; the insurance adjustment module is used for dynamically adjusting cinema facilities according to the states of audiences, the information collection module comprises a heart rate analysis module, a respiration analysis module and a data storage module, and the audience analysis module comprises a tensity calculation module and a concentration degree calculation module. The insurance adjusting module comprises a seat adjusting module, an insurance module and a volume adjusting module, the tensity calculating module is electrically connected with the seat adjusting module, and the concentration calculating module is electrically connected with the volume adjusting module; the method has the characteristic that the film watching effect of the audience is enhanced according to the tension degree of the user when the user watches the terrorism film.

The present invention discloses a blockchain insurance system based on smart contracts, comprising an information collection module, an audience analysis module and an insurance adjustment module, wherein the information collection module is used to collect information when the audience is watching a movie, the audience analysis module is used to analyze the state of the audience watching a horror movie in a theater in real time, and the insurance adjustment module is used to dynamically adjust the theater facilities according to the state of the audience, the information collection module comprises a heart rate analysis module, a breathing analysis module and a data storage module, the audience analysis module comprises a tension calculation module and a concentration calculation module, the insurance adjustment module comprises a seat adjustment module, an insurance module and a volume adjustment module, the tension calculation module is electrically connected to the seat adjustment module, and the concentration calculation module is electrically connected to the volume adjustment module; the present invention has the characteristic of enhancing the audience's viewing effect according to the user's tension when the user is watching a horror movie.

The invention relates to an exercise heart rate variability measuring method and system.The exercise heart rate variability measuring method comprises the steps that multiple patient exercise electrocardiograms are collected and divided into a training set and a test set, then a heart rate analysis model is established, the training set is input into the heart rate analysis model to train the heart rate analysis model, and the exercise heart rate variability is obtained; then inputting the test set into the trained heart rate analysis model, obtaining a patient heart rate analysis report output by the trained heart rate analysis model, and finally judging and predicting whether the training report is qualified or not. According to the exercise heart rate variability measuring method, the exercise electrocardiogram of the patient under the exercise flat plate test can be collected, the heart rate variability of the patient can be calculated according to the exercise electrocardiogram of the patient, and due to the fact that the collection time needed by the exercise flat plate test is short, the load capacity of the heart can be better reflected; therefore, the calculated heart rate variability of the patient is more reliable.

The invention discloses a relaxation degree calculation method based on dynamic threshold heart rate analysis and a physiological constraint model. The relaxation degree calculation method comprises the steps that a single-sample PPG signal is collected through an ear clip type sensor; performing cleaning and feature extraction on the signals to obtain heart rate basic data and time domain features; further extracting an RR interval sequence, and performing frequency domain conversion and psychological feature evaluation to obtain frequency domain features and psychological features; performing weighted fusion on the time domain and frequency domain features by using a dynamic weighting and physiological constraint module to obtain weighted features; and finally, based on the multi-sample data stored in the annular buffer area, performing feature consistency check, calculating psychological features meeting consistency conditions, and outputting a final psychological relaxation degree value. According to the method, dynamic threshold heart rate analysis and the physiological constraint model are combined, the accuracy and reliability of relaxation degree evaluation are effectively improved, and the method is suitable for real-time and continuous psychological state monitoring.

An object of the system according to the embodiment is to determine the authenticity of the description content of the salesperson and to check the inconsistency between the content of the contract document and the description content.SOLUTION: A system includes a contract document confirmation unit, a facial expression analysis unit, a heart rate analysis unit, a summarization unit, and an inconsistency confirmation unit. The contract document confirmation unit confirms the contract document. The expression analysis unit analyzes the contents of the contract document confirmed by the contract document confirmation unit. The heart rate analysis part analyzes the expression of the salesman analyzed by the expression analysis part. The summarization part analyzes the heart rate of the salesman analyzed by the heart rate analysis part. The inconsistency checking unit checks the contract document and the description content summarized by the summarizing unit.SELECTED DRAWING: Figure 1

This invention relates to the field of emotion recognition technology, specifically to a method and system for emotion event recognition based on multimodal physiological parameters. The method determines a baseline time window based on the changing trend of the respiratory rate time series; it determines the heart rate analysis interval and blood pressure analysis interval based on the hysteresis response characteristics of the heart rate and blood pressure time series within the baseline time window; the baseline time window, heart rate, and blood pressure analysis intervals constitute the current representation feature; the feature matching degree is determined based on the similarity between the current representation feature and a preset set of historical representation features; the current representation feature is weighted and fused for optimization based on the feature matching degree to determine the optimized representation feature; the optimized representation feature is input into a pre-trained classification model, which outputs a category label corresponding to the emotional event. This makes the representation feature more closely resemble the real emotion-physiological linkage, so that the classification result can take into account the differences in individual physiological characteristics.

The embodiments of the present application relate to the field of heart rate analysis, and specifically to a method and device for nonlinear analysis of heart rate variability and generation of an electrocardiogram scatter plot. A specific implementation of the method includes: obtaining an initial electrocardiogram signal within a preset time length; obtaining a sequence of heart rate positive wave intervals; splitting processing to obtain a sequence of heart rate positive wave interval groups; constructing a three-dimensional scatter plot of a heart rate positive wave; performing a first feature extraction process to obtain a first heart rate feature information sequence; performing a second feature extraction process to obtain a second heart rate feature information; performing a fusion process to obtain target heart rate feature information; performing an abnormal recognition process on the target heart rate feature information to obtain an abnormal heart rate recognition result; in response to determining that the abnormal heart rate recognition result meets a preset abnormal condition, sending the three-dimensional scatter plot of the positive heart rate wave, the target heart rate feature information and the abnormal heart rate recognition result to an alarm terminal for alarm. This implementation improves the accuracy of abnormal heart rate state recognition.

The invention discloses a human body heart rate detection device and method based on millimeter wave radar, and relates to the field of human body heart rate detection, and the device comprises a visual detection unit, a millimeter wave radar detection unit and a heart rate analysis module. The invention can provide a solution for remotely detecting the heart rate of the human body by adopting the millimeter-wave radar detection unit, firstly, the human body feature position is determined through the visual detection unit, and the position of the human body in a static state can be determined through a visual analysis algorithm on the basis of a pre-constructed electronic map of the current area; finally, the human body judged to be in a static state serves as a target of remote heart rate detection, the millimeter wave radar can be aligned to the heart position of the human body by controlling the action of the angle adjusting mechanism through the radar controller, and the fluctuation of the chest due to heartbeat is detected based on millimeter waves; and finally, analyzing to obtain heart rate data of the corresponding human body. The heart rates of a plurality of human body targets in the target area can be detected.

1. Name of this design product: Medical heart rate analysis report management graphical user interface for electronic equipment. 2. Purpose of this design product: For an electronic device. 3. Key points of this design product: The graphical user interface. 4. The picture or photo that best illustrates the key points of the design: The main view. 5. Other views are conventionally designed and omitted. 6. Purpose of the graphical user interface: Used for intelligent statistical management of patients' heart rate variability analysis reports in the medical service system. 7. Human-computer interaction mode of the graphical user interface: The main view is the patient list interface; in the main view, under the HRV report, select and click "View" to enter the interface change state diagram 1 to view the heart rate variability report of the corresponding patient; swipe up on the interface change state diagram 1 to enter the interface change state diagram 2; swipe up on the interface change state diagram 2 to enter the interface change state diagram 3 swipe up on the interface change state diagram 3 to enter the interface change state diagram 4 swipe up on the interface change state diagram 4 to enter the interface change state diagram 5 swipe up on the interface change state diagram 5 to enter the interface change state diagram 6 swipe up on the interface change state diagram 6 to enter the interface change state diagram 7; swipe up on the interface change state diagram 7 to enter the interface change state diagram 8.