13 results about "Heart rate fluctuation" patented technology

The invention relates to the technical field of emotional robots, and discloses an embracing emotional robot which comprises an inner shell, low-cost and high-simulation breathing simulation is achieved through cooperative control of an air pump and an air valve, and the embracing emotional robot is designed by combining simulation body temperature brought by a heating piece and synchronous action of a rotatable arm. The emotion robot can naturally rotate forwards when being embraced and is matched with simulated respiration and simulated body temperature, so that the immersion and emotion interaction experience of a user are remarkably improved; the operation cycle of the air pump strictly follows biological breathing characteristics, the inspiration stage accounts for 2 / 3 of the breathing cycle, the speed of the inspiration stage changes fast and slow, the expiration stage accounts for 1 / 3 of the expiration stage, smooth pressure relief is achieved through the air valve, and the highly-simulated breathing mode can effectively guide a user to breathe synchronously, so that parasympathetic nerves are activated, the anxiety level and heart rate fluctuation are reduced, and the user experience is improved. And the whole structure adopts a modular design, complex functions such as breathing simulation, embracing and body temperature simulation can be realized, the maintenance is convenient, and the device is particularly suitable for long-term accompanying scenes.

The embodiment of the invention relates to a carsickness early warning method and device, a vehicle, electronic equipment and a storage medium. The method comprises the steps that the current attitude angle of the vehicle is acquired; calculating the current vestibular stimulation intensity based on the attitude angle and a preset carsickness weight coefficient; acquiring a current electrocardiosignal of a target user in the vehicle from a preset electrocardiosignal acquisition device; determining current heart rate fluctuation data of the target user based on the electrocardiosignal; detecting the pupil diameter of the target user to obtain the current pupil diameter of the target user; and performing carsickness risk prediction on the vestibular stimulation intensity, the heart rate fluctuation data and the pupil diameter by using a preset carsickness risk prediction model to obtain a carsickness risk level. According to the embodiment of the invention, the physiological abnormal state of the user in the vehicle can be detected in time, the carsickness risk level is accurately judged, the specific user is detected in a targeted manner, the adaptability of carsickness early warning and the user is improved, and the vehicle can execute a targeted coping strategy for the carsickness degree.

The invention relates to the technical field of physiological data monitoring, in particular to an orthopedic postoperative patient physiological data analysis method and system.The orthopedic postoperative patient physiological data analysis method comprises the following steps that heart rate blood oxygen and limb activity data are collected, a heart rate fluctuation value, a blood oxygen change value and an activity range are extracted, and a multi-dimensional physiological feature sequence is constructed; and calculating a data change range in the sliding window of each dimension and a frequency change value of adjacent windows. According to the method, fine quantitative analysis of heart rate fluctuation, oxyhemoglobin saturation and limb movement amplitude is achieved by dynamically adjusting data time span and calculating indexes in a segmented mode, change characteristics of different recovery stages are adapted, data cleaning accuracy is improved through high-density region statistics and noise elimination, scientific induction of dynamic characteristics is ensured, and the method has good application prospects. In combination with feature extraction and trend analysis of an acute period, a functional reconstruction period and a stable period, comprehensive evaluation of inter-stage features is formed, and based on an offset rate, a prediction deviation value and abnormal signal trajectory labeling, the anomaly identification and real-time tracking capability is enhanced.

This invention provides a heart rate information acquisition device that can select the appropriate signal from multiple signals to obtain highly accurate heart rate information. [Solution] A heart rate information acquisition device for acquiring heart rate information of a subject lying in bed comprises: a signal acquisition unit that acquires a plurality of signals, each containing a component that fluctuates according to the subject's heart rate; a signal selection unit that selects an information acquisition signal from the plurality of signals to be used for acquiring the heart rate information based on the kurtosis of each of the plurality of signals; and a heart rate information acquisition unit that acquires the subject's heart rate information based on the information acquisition signal.

This invention relates to the field of data monitoring technology, specifically to a method for monitoring the air pressure stability of an anti-decubitus air mattress. The method involves: obtaining periodic characteristic values ​​based on the air pressure change characteristics of the air chambers; obtaining a historical period range based on all periodic characteristic values; obtaining a fluctuation reference value based on the air pressure fluctuation characteristics within the historical period range; preliminarily judging the air pressure stability of the air mattress based on the air pressure fluctuation characteristics and fluctuation reference value of the current monitoring period; obtaining an average pressure difference based on the air pressure difference characteristics of different air chambers; obtaining the degree of difference based on the average pressure difference between any time in the current monitoring period and any historical reference time; obtaining the degree of positional change based on the user's heart rate fluctuation characteristics and acceleration fluctuation characteristics; and obtaining a correlation degree between the degree of difference and the degree of positional change. This invention obtains air pressure stability characteristic values ​​based on the correlation degree and the degree of difference and monitors the air pressure of the air mattress, improving monitoring accuracy.

In vehicle systems, heart rate guidance for occupants is performed at the appropriate time. [Solution] The vehicle system includes a heart rate induction device (vibration device 81) that induces fluctuations in the heart rate of a person seated in a vehicle seat 2 provided in the vehicle, a heart rate measurement device 101A that measures the heart rate of the person seated, a movement status determination device 17 that determines the movement status of the vehicle, and when the heart rate is higher than a first threshold and the movement status determination device 17 determines that the vehicle is moving to a location other than the highway merging area 111, the heart rate induction device is activated to lower the heart rate of the person seated, and when the movement status determination device 17 determines that the vehicle is moving in the merging area 111, the operation of the heart rate induction device is prohibited.

The invention relates to the technical field of heart rate monitoring, in particular to a body temperature and heart rate real-time monitoring method based on a wearable device, and the method comprises the steps: collecting PPG signal data, temperature data and motion data of a user through the wearable device; calculating a current accumulative exercise intensity index according to the temperature data and the exercise data, searching a class cluster to which the accumulative exercise intensity index belongs from a preset class cluster group through the accumulative exercise intensity index, and determining a corresponding heart rate waveform template and a heart rate fluctuation range; and taking the heart rate duration in the heart rate fluctuation range as a fluctuation interval, performing sliding matching between the current PPG signal data and the heart rate waveform template to determine a real peak value, and obtaining the current heart rate data of the user based on the real peak value. By means of the heart rate monitoring method and device, the heart rate monitoring accuracy of the wearable device in the motion state of the user can be improved to a great extent.

The application provides a control method of a vehicle-mounted atmosphere lamp and related equipment, and the method comprises the following steps: in response to a control instruction of a vehicle-mounted atmosphere lamp, real-time heart rate data of a vehicle user is acquired, wherein the real-time heart rate data comprises pulse fluctuation data; and the working state of the vehicle-mounted atmosphere lamp is adjusted in real time based on the pulse fluctuation data. The control method of the vehicle-mounted atmosphere lamp provided by the application can reflect the heart rate fluctuation state of a driver by acquiring real-time pulse fluctuation data of the driver, and the vehicle-mounted atmosphere lamp can be automatically adjusted according to the heart rate fluctuation state of the driver, so that the current heart rate fluctuation state of the driver can be directly reflected, in the case of sudden physical discomfort of the driver, the vehicle user can judge and take measures in time, the driving safety is improved, and timely reminders can be given to some potential heart rate abnormalities of the driver.

The present application relates to the technical field of sleep regulation, in particular to a sleep instrument adaptive comfort adjustment method and a sleep instrument, comprising the following steps: monitoring breathing interval by using Internet of Things sensors, analyzing rhythm trend, identifying breathing response, monitoring skin temperature and body movement coordination, evaluating comfort state deviation, analyzing breathing and heart rate linkage, identifying sleep stage, combining environmental temperature and humidity trend, judging adjustment rhythm, and sending device control instruction set. In the present application, through the synchronous correlation of the real-time physiological state of the user and the environmental factors, the linkage relationship between the continuous breathing interval change trend and the heart rate fluctuation is analyzed, the sleep stage change process is accurately evaluated, and the synchronous fluctuation trend of the skin temperature and the body movement signal is combined to continuously and dynamically track the comfort state, automatically identify the coordination degree of individual physiological and environmental changes in the sleep cycle, optimize the external environmental parameter output rhythm, improve the environmental regulation precision, and ensure the smooth transition of the physiological state during the sleep stage conversion of the user.

This invention relates to the field of heart rate monitoring technology, specifically to a method for real-time monitoring of body temperature and heart rate based on wearable devices. The method includes: collecting a user's PPG signal data, temperature data, and exercise data through a wearable device; calculating a current cumulative exercise intensity index based on the temperature data and exercise data; identifying the corresponding heart rate waveform template and heart rate fluctuation range from a preset cluster based on the cumulative exercise intensity index; using the heart rate duration within the fluctuation range as the fluctuation interval; performing a sliding match between the current PPG signal data and the heart rate waveform template to determine the true peak value; and obtaining the user's current heart rate data based on the true peak value. Using this invention, the accuracy of heart rate monitoring by wearable devices during user exercise can be significantly improved.

The application discloses a kind of data intelligent labeling methods based on artificial intelligence, it is related to intelligent medical technical field, including the following steps: obtaining the physiological parameter data of user, historical health parameter data and motion state data;According to the motion state data, output motion state label data by pre-constructed motion recognition model;The historical health parameter data is analyzed by sliding window, and the long-term change data of user health parameter is dynamically established and updated.This scheme can distinguish whether physiological parameter fluctuation is caused by motion through the correlation search of time window division and motion state label, for example, when detecting that the heart rate fluctuation of user during running exceeds threshold value, it can be judged as normal physiological response instead of abnormal by combining motion label, can effectively reduce the probability that normal physiological parameter fluctuation caused by motion is mislabeled as abnormal, while improving the pertinence of abnormal detection.

The invention relates to the technical field of medical fluid conveying pipeline dynamics and artificial intelligence, and discloses a blood flow pipeline random excitation control method based on a physical information neural network, and the method comprises the steps: constructing a PINN model which comprises a data collection module, a physical information neural network prediction module and a control decision module; a sensing-prediction-regulation closed loop is constructed, a hemodynamic control equation and a pipeline vibration equation are fused in a PINN loss function, dual-drive prediction of data and physics is achieved, the generalization ability of a model is improved, heart rate fluctuation and vasoconstriction signals are processed through wavelet transform, random excitation feature vectors matched with a blood flow scene are constructed, and therefore the heart rate fluctuation and vasoconstriction signals are processed. The problem that excitation types of a traditional model are not matched is solved, blood flow auxiliary equipment is driven to achieve two-stage intelligent response according to a PINN prediction result, and closed-loop safety control for random excitation is formed.

1. Name of the product in this design: Heart rate display area for a graphical user interface of a song playback page in an electronic device. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the parts in the graphical user interface, and the parts not marked with dotted lines are the parts for which protection is required. 4. The image or photograph that best illustrates the design's key points: Design 2 main view. 5. Design 2 is designated as the basic design. 6. Purpose of the graphical user interface: The overall appearance design of the interface is used to display song information and related playback control buttons, and to observe heart rate changes (such as heartbeat animation, heart rate value, and heart rate fluctuation frequency) when playing songs. The partial appearance design of the interface is used to observe heart rate changes (such as heartbeat animation, heart rate value, and heart rate fluctuation frequency) when playing songs. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, the heartbeat animation, heart rate value and heart rate fluctuation frequency are displayed at the top of the interface, which can change according to the user's status (such as listening to music, exercise status, etc.). The human-computer interaction methods of Designs 2 to 6 are the same as those of Design 1, but the heartbeat animations are different for different heart rate values. In the main view of Design 7, the heartbeat animation and heart rate value are displayed at the top of the interface, which can change according to the user's status (such as listening experience, exercise status, etc.). In the main view of Design 8, the heart rate value and heart rate fluctuation frequency are displayed at the top of the interface, which can change according to the user's status (such as listening to music, exercise status, etc.).