48 results about "Target heart rate" patented technology

The embodiment of the invention discloses a blood glucose index evaluation method, electronic equipment and a storage medium, and the method comprises the steps: obtaining the corresponding heart rate data of a target user in an evaluation time period, carrying out the feature extraction processing of the heart rate data, obtaining the corresponding target heart rate feature of the target user in the evaluation time period, and obtaining the target heart rate feature of the target user in the evaluation time period; inputting the target heart rate feature and a target calibration parameter corresponding to the target user into a blood glucose evaluation model, and predicting blood glucose control index data corresponding to the target user in the evaluation time period through the blood glucose evaluation model. The target heart rate features and the target calibration parameters are used as input of a blood glucose evaluation model, and the blood glucose management and control index data of the target user in the evaluation time period are predicted through the blood glucose evaluation model, so that it is ensured that the obtained heart rate data corresponding to the target user in the evaluation time period are utilized; and the accuracy of the blood glucose management and control index data corresponding to the target user in the evaluation time period is determined, and meanwhile, the cost of blood glucose monitoring is greatly reduced.

The invention discloses a heart rehabilitation training monitoring and management system, relates to the technical field of intelligent medical treatment, and solves the problems that in the prior art, an evaluation mode excessively depends on artificial experience, the requirements of modern heart rehabilitation for data objectivity and timeliness are difficult to meet, and the scientificity and effectiveness of rehabilitation training are limited. By means of the data acquisition unit and the monitoring analysis unit, real-time monitoring and accurate analysis of the heart rate of the patient are achieved. Compared with a traditional heart rehabilitation evaluation mode, the system can automatically calculate the target heart rate interval and output an objective rehabilitation training evaluation result according to the difference between the real-time heart rate and the target heart rate. According to the automatic evaluation mode, the dependence on artificial experience is reduced, errors caused by subjective judgment are avoided, and the objectivity and timeliness of an evaluation result are ensured. Meanwhile, the system can help related personnel to dynamically adjust the training intensity according to real-time data, and the safety and effectiveness of rehabilitation training are further improved.

Disclosed are example embodiments of an exercise system and methods for providing a personalized workout session. An example method for providing a personalized workout session includes collecting heart rate data of a user during a calibration workout session. The example method for providing a personalized workout session also includes determining a plurality of personalized heart rate zones for the user based on the collected heart rate data. Additionally, the example method for providing a personalized workout session includes providing, to an exercise equipment, a workout session having a plurality of workout segments, wherein each workout segment has a target heart rate zone that is associated with one of the plurality of personalized heart rate zones.

Embodiments of the present application provide a heart rate determination method and device, electronic equipment and storage medium. The method comprises: obtaining a heartbeat signal corresponding to a heart impact signal of a target to be measured; processing the heartbeat signal to obtain a heartbeat difference signal corresponding to the heartbeat signal and a target probability density curve; determining a plurality of consecutive target heartbeats in the heartbeat signal based on the heartbeat difference signal, the similarity between any two target heartbeats in the plurality of target heartbeats being greater than a preset similarity threshold; determining a plurality of predicted heart rates according to the target probability density curve, the plurality of target heartbeats and the sampling rate of the heart impact signal; and determining a target heart rate of the target to be measured based on the plurality of predicted heart rates. Based on the method, errors in heart rate calculation caused by interference signals in the heart impact signal can be avoided, and the accuracy of heart rate determination is improved.

The invention discloses an AI accompanying toy and method based on an emotional acoustic wave algorithm, and relates to the technical field of man-machine interaction, a core processing layer establishes an independent virtual heart rate system for each AI role, and generates a personalized basic heart rate and an emotional intimacy initial value according to role attributes; dialogue content and AI emotional state are analyzed in real time based on data acquired by the input layer, and emotion type and intensity are identified; calculating a target heart rate and a spectrum modulation parameter according to the emotional state; dynamically adjusting parameters according to the interaction time, the dialogue depth and the emotion intimacy; the heart rate rhythm and spectrum modulation are applied to AI voice in real time; and the output layer presents the fused information of the emotional sound wave and the emotional state in a graph or color mode. Therefore, personification and life feeling of the AI role are greatly enhanced, man-machine interaction is upgraded from simple information exchange to accompanying experience with emotional depth and physiological resonance, and interaction naturalness and emotional attachment of the user are remarkably improved.

The present application relates to a kind of non-contact multi-target heart rate variability (HRV) detection method based on adaptive variational mode decomposition (VMD).The method first uses radar technology to detect the human target in the measured scene to determine the accurate distance window of each target.Then, the signal phase is extracted from the distance window by the differential and cross-multiplication algorithm, and then the thoracic displacement signal of each person to be tested is obtained.The present application optimizes the VMD parameters using the improved GOA algorithm, proposes a new adaptive function HIE (combining permutation entropy, mutual information and energy loss rate) as the objective function of GOA, and realizes the complete adaptive VMD decomposition of the thoracic displacement signal of each person to be tested.Through this decomposition, the heartbeat signal and the breathing signal are extracted, so that the heart rate variability characteristics of each person to be tested can be accurately detected.The present method provides a high-precision, non-contact HRV detection method, which is suitable for multi-target scene.

The embodiments of the present application provide a data processing method, system, server and readable storage medium, and relate to the field of computer technology. The embodiments of the present application can collect the user's target heartbeat data during the display and / or playback of the target multimedia file, and adjust the association relationship between the target user identifier and the target multimedia file according to the target heart rate parameters determined based on the target heartbeat data. Furthermore, the embodiments of the present application can recommend corresponding content to the user based on the association relationship. Therefore, the embodiments of the present application can judge the user's preference for the target multimedia file based at least on the user's target heartbeat data, and can obtain the user's preferences without relying on the user's operation of the terminal device, thereby improving the accuracy of data recommendation.

The invention discloses a tactile feedback guiding method and system for heart rehabilitation, and relates to the technical field of medical rehabilitation, and the method comprises the steps: obtaining physiological monitoring data and motion state data of a heart rehabilitation patient; a current heart rate interval state is determined according to the physiological monitoring data, a current exercise metabolism equivalent value is determined according to the exercise state data, and the current heart rate interval state is divided based on a preset rehabilitation target heart rate range; generating a tactile feedback mode corresponding to the current heart rate interval state and the current exercise metabolism equivalent value; and executing a tactile feedback mode to realize rehabilitation guidance, and adjusting the tactile feedback mode according to the change trend of the physiological monitoring data. According to the invention, real-time tactile feedback adjustment based on the change trend of the physiological data is realized, accurate non-intrusive motion guidance is provided for heart rehabilitation patients, and the safety and effectiveness of rehabilitation training are improved.

A brain function improvement facilitating device includes: a storage; a display screen; a timer; a heart rate measurement unit; a target exercise intensity calculator; a setting unit; a first determiner that determines whether a heart rate of a user is greater than or equal to a target heart rate set by the setting unit; a duration time measurement controller that performs control to measure a duration time in which the heart rate of the user is greater than or equal to the target heart rate if the heart rate of the user is determined to be greater than or equal to the target heart rate; a second determiner that determines whether a total of the duration time measured within a predetermined time limit has reached the target time set by the setting unit; a storage controller that controls the storage to store information indicating that the duration time has reached the target time if it is determined that the total of the duration time has reached the target time; a display data generator that generates display data to be displayed on a display screen based on reaching the target time if it is determined that the duration time has reached the target time; and a display controller that controls the display screen to display at least one of the calculated target heart rate, actual related data and time, or the display data.

The invention discloses a melatonin secretion moment detection method, device and equipment, a medium and a program product, and relates to the technical field of physiological rhythm monitoring, and the melatonin secretion moment detection method comprises the steps of obtaining original heart rate data of a user at a first moment; performing first filtering processing based on a circadian rhythm period on the original heart rate data to obtain first heart rate data; determining second heart rate data according to the original heart rate data and the first heart rate data; performing second filtering processing on the second heart rate data based on an over-daily rhythm period to obtain third heart rate data; fusing the first heart rate data and the third heart rate data to obtain target heart rate data; according to the target heart rate data at the first moment and the target heart rate data at the at least one second moment, the melatonin secretion moment of the user is determined, and the detection accuracy of the melatonin secretion moment 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.

The present application provides a data acquisition method and an electronic device. The method includes: obtaining first heart rate information of a target user corresponding to a first scenario within a recent first time period, where the first heart rate information is collected when the signal quality of a photoplethysmogram (PPG) signal meets a first condition, and the first heart rate information includes a step frequency value and a heart rate value; constructing a first heart rate map corresponding to the target user in the first scenario according to the first heart rate information; receiving a target step frequency value of the target user in the first scenario, where the target step frequency value is collected when the signal quality of the PPG signal does not meet the first condition; and determining a target heart rate value corresponding to the target step frequency value according to the first heart rate map. In this way, by generating a heart rate map using the user's historical heart rate information and determining the heart rate value when the PPG signal quality is poor according to the heart rate map, the abnormal value output of heart rate monitoring can be reduced, thereby improving the reliability of heart rate monitoring and enhancing the user experience.

The invention relates to the technical field of biomedical engineering. The invention discloses a physiological parameter detection method and device based on RGB-NIR combination, a terminal and a storage medium. The accuracy of physiological parameter detection can be improved. The physiological parameter detection method based on RGB-NIR combination comprises the following steps: acquiring a target RGB signal and a first target NIR signal corresponding to the face of a target object; performing correction processing on the first target NIR signal by adopting a first preset algorithm to obtain a second target NIR signal; performing fusion processing on the target RGB signal and the second target NIR signal to obtain a fusion signal; heart rate feature extraction processing is conducted on the fusion signal, and the target heart rate of the target object is obtained.

The invention discloses a method for calculating a target heart rate of exercise, which comprises the following steps of: 1, obtaining the consensus of the relation among age, resting heart rate and target heart rate in the biomedical field and the sports science field at present by looking up academic literatures; 2, designing a research scheme, and determining a method and a tool for collecting data; 3, collecting data on site to obtain 324 samples; 4, through statistical analysis, carrying out multivariate stepwise regression analysis by taking the heart rate after exercise as a dependent variable and taking age and resting heart rate as independent variables, so as to obtain a double-drop target heart rate model; 5, establishing and calculating target heart rate matrix data, determining the age range to be 20-70 years old, determining the resting heart rate range to be 55-95 times per minute, and calculating the matrix data of the target heart rate lower limit value; the problem of correctly calculating the bull's-eye rate according with the medical physiology principle is solved.

The invention relates to the technical field of fitness equipment, in particular to a stair machine control method based on heart rate control and a stair machine. The specific control method of the heart rate mode comprises the following steps: starting heart rate mode training at an initial gear: acquiring a heart rate time curve of a user, comparing the heart rate time curve with a target heart rate, and if a heart rate value within continuous specified time is lower than a first specified amplitude of the target heart rate, automatically adjusting the resistance of a resistance regulator to be increased by one gear from the current gear, if the heart rate value in the continuous specified time is higher than the second specified amplitude of the target heart rate, the resistance of a resistance regulator is automatically adjusted to be reduced by one gear from the current gear; and if an exit signal is received in the process, entering a standby mode. The resistance gear of the stair machine is automatically adjusted according to the real-time heart rate data, speed adjustment is achieved, so that the heart rate of a user is kept within the target heart rate range, and it can be ensured that the exercise intensity is moderate, scientific and safe.

The application provides a heart rate detection method and an electronic device. In the method, the electronic device obtains first data of a user, and determines a first heart rate value according to the first data. When the first heart rate value does not satisfy a preset condition, the electronic device obtains second data of the user, determines a second heart rate value according to the second data, and the second data is related to a heart rate detection scene. The electronic device performs fusion processing on the first heart rate value and the second heart rate value, and determines a target heart rate value. Through the scheme, when the electronic device detects the heart rate of the user, if the first heart rate value determined based on the first data is inaccurate, the electronic device can obtain the second data related to the heart rate detection scene, generate the second heart rate value based on the second data, and generate the target heart rate value according to the first heart rate value and the second heart rate value, so that the inaccurate heart rate value can be calibrated in combination with the heart rate detection scene, and the accuracy of heart rate detection is improved.

The present invention relates to the technical field of electronic digital data processing, and particularly relates to a method for eliminating motion artifacts in a heart rate signal for heat tolerance monitoring. During the heat tolerance monitoring process, temperature data, acceleration data, and the PPG heart rate signal of blood vessels of a monitored object are acquired. Different types of each action are determined based on the acceleration data, and the segments of the PPG heart rate signal corresponding to different types of each action are decomposed to determine each IMF component corresponding to each action. According to each IMF component corresponding to each action and the temperature data, the influence of each IMF component corresponding to each action on motion artifacts is determined. Signal reconstruction is performed based on the influence of each IMF component corresponding to each action on motion artifacts to obtain the target PPG heart rate signal with motion artifacts eliminated, avoiding the situation where the heart rate signal is distorted due to motion artifacts, and being beneficial to improving the accuracy of heart rate measurement.

The present application relates to the technical field of treadmills, and particularly relates to an intelligent treadmill based on heart rate and a training method, which comprises the following steps: S1, acquiring instantaneous heart rate data of a runner at the moment when a preset cardiopulmonary endurance test prescription is completed, and calculating maximum oxygen uptake by combining the instantaneous heart rate data and basic information of the runner; S2, obtaining an oxygen uptake percentage by comparing the maximum oxygen uptake with an oxygen uptake percentage table, and calculating a target heart rate interval by combining the oxygen uptake percentage, gender and age; S3, executing a movement prescription based on the target heart rate interval of step S2 and acquiring an actual heart rate during the movement, and adjusting the movement intensity to maintain the actual heart rate within the target heart rate interval when the actual heart rate deviates from the target heart rate interval. The present application can avoid excessive movement or insufficient movement intensity, obtain the best movement prescription suitable for the runner, and thus help to improve the user experience of the runner when using the treadmill.

The invention provides a dual-heart health early warning system and method based on millimeter wave radar and electronic equipment, and relates to the technical field of non-contact physiological signal processing, the system comprises a signal acquisition and processing module used for extracting a target respiration signal and a target heartbeat signal in an original echo signal; the multi-parameter adaptive classification module is used for carrying out heart function parameter extraction processing to obtain a target respiratory rate, a target heart rate, target heart rate variability and target cardiopulmonary coupling; the psychological and emotion evaluation module is used for obtaining a target psychological state evaluation result and a target emotion state evaluation result; and the fusion decision module is used for inputting the target respiratory rate, the target heart rate, the target heart rate variability, the target cardiopulmonary coupling, the target psychological state evaluation result and the target emotional state evaluation result into the double-heart linkage early warning model to obtain a physiological parameter early warning result. According to the method, physiological signals with higher precision are extracted, and effective early warning of psychological and heart parameters is realized.

This invention discloses a method and system for accurately reproducing non-invasive blood pressure oscillation waveforms, relating to the field of vital sign data monitoring technology. It constructs and superimposes a target pressure sequence by separately generating a target baseline pressure curve and a target oscillation pressure curve. The actual pressure signal is then separated into an actual baseline pressure curve and an actual oscillation pressure curve. This allows the baseline pressure error and oscillation pressure error to correspond to the baseline pressure control quantity and oscillation injection control quantity, respectively, avoiding the problem of unclear error sources when correcting composite pressure as a whole. When reproducing the same target systolic pressure, target diastolic pressure, target mean pressure, and target heart rate multiple times, it can reduce pressure overshoot, pressure drop rate fluctuations, oscillation pressure amplitude distortion, and oscillation envelope peak position offset. This makes the corrected non-invasive blood pressure oscillation waveform closer to the target pressure sequence, improving the consistency of the error verification results and repeatability evaluation results of the non-invasive blood pressure module under test.

A motion index calculation system suitable for obtaining a motion index that matches the physical characteristics of a subject is provided. [Solution] An exercise index calculation device 100 inputs a subject's age and resting heart rate, calculates a target heart rate using the Karvonen method calculation formula based on the subject's age, resting heart rate, and intensity (%), and calculates a baseline NSM using the CLS theory calculation formula based on the calculated target heart rate.The subject then exercises with a target NSM set based on the calculated baseline NSM, reads out measurement data measuring the NSM and heart rate at that time, and calculates an adapted NSM using an individualization formula based on the calculated target heart rate and the read out measurement data.The device also determines parameters of the individualization formula based on the measurement data, and classifies the subject's physical characteristics based on the determined parameters.

The invention discloses a heart rate determination method, electronic equipment and a computer readable storage medium, and relates to the technical field of wearable equipment, the heart rate determination method comprises the following steps: acquiring heart rate data detected by a plurality of wearable equipment worn by a user at the same moment; calculating a difference value between the heart rate data of any two wearable devices; based on a comparison result of the difference value and a preset consensus threshold value, whether any two wearable devices reach a consensus or not is determined, and the wearable devices reaching the consensus form a consensus group; based on the formation result of the consensus group, dynamically adjusting the equipment credit value of each wearable equipment; and based on the adjusted equipment credit value of each wearable equipment, carrying out fusion calculation or selection on the heart rate data of all the wearable equipment, and outputting to obtain a final target heart rate value. According to the method, the unified and dynamically-adjusted equipment credit value is introduced to replace the confidence coefficient, and a dynamic credit adjustment mechanism based on the consensus group enables a multi-equipment heart rate data fusion result to be more accurate and reliable.

The application relates to the technical field of air conditioners, and discloses a method for obtaining calories, which comprises the following steps: obtaining current heart rate information and a breathing frequency of a target user; determining a compensation strategy of heart rate information according to the continuous state of the current heart rate information and the breathing frequency, and obtaining target heart rate information according to the compensation strategy; and determining the calories of the target user according to a calorie estimation model corresponding to the heart rate information. The method can improve the accuracy of calorie consumption value calculation. The application further discloses a device for obtaining calories, an air conditioner and a storage medium.

The application discloses a heart rate detection method and device, a wearable device and a medium, and belongs to the electronic information field. The wearable device comprises a microphone and a target sensor. The heart rate detection method comprises the following steps: acquiring a first sound signal through the microphone and a second interference signal through the target sensor in the case that a user wears the wearable device; and obtaining a target heart rate parameter of the user according to the first sound signal and the second interference signal. In the case that the user wears the wearable device, the microphone and the ear canal of the user form a closed cavity.

The invention discloses a heart rate monitoring method and device based on wearable equipment, equipment and a medium, and relates to the technical field of heart rate monitoring, and the method comprises the steps that PPG data of a target object is collected through the wearable equipment, and a target heart rate measured value and a target heart rate variability index are obtained based on the PPG data; extracting target HIS data of a target object from an HIS system of a hospital, and inputting the target HIS data, the target heart rate measured value and the target heart rate variability index into a pre-training heart rate grading model, so that the pre-training heart rate grading model is matched with a corresponding target heart rate variability index abnormal range threshold table based on the target HIS data, and determining and outputting a heart rate alarm level corresponding to the target heart rate measured value according to the target heart rate variability index abnormal range threshold table. Compared with a mode of judging abnormal heart rate according to single heart rate data or simple standards, the method fully considers the influence of individual disease characteristics of the patient on the heart rate.

The application discloses a kind of based on radar vital sign detection method, equipment and storage medium, the detection method includes target detection to radar echo, obtain real target and its distance gate and respiratory rate at;The phase signal of the distance gate where real target is and the phase signal of the adjacent distance gate of the distance gate where real target is are normalized superimposed and unwound, and the vital sign signal of real target is obtained;Heartbeat band of vital sign signal is Chrip-Z development and maximum peak frequency search is carried out, and target heart rate is obtained.The phase signal of multiple distance gates is normalized fusion in the application, the signal-to-noise ratio of respiration and heartbeat signal is improved, and vital sign information carried by radar echo is fully utilized;High-resolution spectrum analysis in heartbeat band is realized by Chrip-Z development, heartbeat signal spectrum is refined, and the detection precision of vital sign parameter is improved.

This application provides a heart rate detection method and an electronic device. Through the solution, when it is detected that a user wearing a smart wearable device is making a first workout, a PPG signal is acquired through a PPG sensor in the smart wearable device; first heart rate data is obtained based on the PPG signal and a first deep sequence neural network model; second heart rate data is obtained based on the PPG signal and a first frequency tracking algorithm model; and the first heart rate data and the second heart rate data are fused to obtain a target heart rate of the user. Because a frequency tracking algorithm can quickly track a heart rate change, thus the solution can compensate for a scenario in which a deep sequence neural network cannot implement timely tracking in the case of a sudden change of heart rate.

The application discloses a heart rate detection method and device, a storage medium and an electronic device. A pulse wave signal and an acceleration signal of a user are acquired, and a current state of the user is determined. When the user is in a static state, time domain analysis is performed based on the pulse wave signal to obtain at least one first static heart rate value, and frequency domain analysis is performed based on the pulse wave signal to obtain a plurality of second static heart rate values. When the user is in a motion state, frequency domain analysis is performed based on the pulse wave signal to obtain a plurality of first motion heart rate values, and deep learning analysis is performed based on the pulse wave signal and the acceleration signal to obtain a second motion heart rate value. A target heart rate value of the user is determined according to the first static heart rate value and the second static heart rate value, or the target heart rate value of the user is determined according to the first motion heart rate value and the second motion heart rate value. In the static state, the time domain and the frequency domain are combined, the accurate heart rate value is obtained, and the energy consumption is reduced. In the motion state, the frequency domain and the deep learning are combined, and the more accurate heart rate value is obtained.

The embodiment of the present invention discloses a body temperature monitoring method, apparatus, terminal device and storage medium, comprising the following steps: calibrating the heart rate and body temperature of the monitoring target according to the individual attributes of the monitoring target, respectively, to obtain initial heart rate data and initial body temperature data; acquiring the motion state data of the monitoring target in real time; determining whether the monitoring target is in a resting state within a preset first time period according to the motion state data; if the monitoring target is in a resting state within the first time period, acquiring the target heart rate data of the monitoring target, and calculating the current body temperature data of the monitoring target according to the target heart rate data, the initial heart rate data and the initial body temperature data. When calculating the body temperature data of the monitoring target, the embodiment of the present invention can eliminate the influence of environmental factors and exercise on body temperature, further improve the accuracy of the calculated body temperature data, and solve the technical problem of low accuracy of the monitored body temperature when monitoring the user's body temperature in the prior art.

The invention relates to the technical field of big data, and discloses a method and system for improving heart rate monitoring accuracy. Comprising an original heart rate data measurement module, an original heart rate data preprocessing module, a heart rate data frequency decomposition module, a frequency decomposition noise analysis module, a heart rate data analysis post-reconstruction module, a heart rate monitoring risk judgment module and a risk analysis early warning output module. Performing decomposition processing on instant heart rate values obtained by sampling different sampling points in different time periods, performing noise quantization on heart rate decomposition coefficients to obtain heart rate correction coefficients in different time periods, and performing data correction on heart rate time sequences in different time periods according to the heart rate correction coefficients; according to the method and system for improving the heart rate monitoring accuracy, the influence of external interference on heart rate monitoring is effectively reduced, and the monitoring accuracy is improved.