Abstract: A psychological stress estimation method includes obtaining a physiological signal of a user corresponding to a current moment, determining a first stress indicator of the user based on the current moment and a cyclic stress model of the user, determining a second stress indicator of the user based on the physiological signal of the user corresponding to the current moment and an instantaneous stress model of the user, where the physiological signal is an input of the instantaneous stress model, and determining the current stress indicator of the user based on the first stress indicator and the second stress indicator.

Abstract: Blood pressure detection signal sampling and compensation methods and apparatuses, and an example blood pressure signal collection system are described. One example method described includes controlling an electrocardiogram (ECG) sampling module and a photoplethysmogram (PPG) sampling module to simultaneously sample a standard periodic signal. Sampling frequencies and sampling end times are separately obtained. A sampling start time and a sampling frequency of the ECG sampling module or the PPG module is then compensated so that a sampling frequency deviation is less than a preset frequency threshold and a sampling end time difference is less than a preset time threshold.

Abstract: A stress evaluation and calibration method and apparatus, and a storage medium are disclosed. The stress evaluation and calibration method includes: obtaining a physiological parameter signal of a user; determining a smallest stress state value of the user within preset duration based on an eigenvalue vector of the physiological parameter signal and a stress evaluation system; determining calibration information based on a smallest reference stress value of a group to which the user belongs and the smallest stress state value; and calibrating, by using the calibration information, a stress state value output by the stress evaluation system, to determine a theoretical stress state value of the user. With the stress evaluation and calibration method and apparatus, a stress evaluation result can be automatically calibrated, to improve evaluation accuracy, and active participation of the user is not required, to improve user experience.

Abstract: A method for calibrating a blood pressure measurement device includes obtaining first blood pressure measurement information and a current confidence coefficient corresponding to the first blood pressure measurement information, determining the first blood pressure measurement information as blood pressure calibration information in response to the blood pressure measurement device comprising the historical calibration parameter list, and the current confidence coefficient being greater than or equal to a preset confidence coefficient or the historical confidence coefficient, and updating the historical calibration parameter list based on the first blood pressure measurement information and the current confidence coefficient.

Abstract: An electrocardiogram waveform signal method includes obtaining a filtered waveform signal, marking the waveform signal as K signal line segments based on monotonicity, extracting line segment data of each signal line segment, and determining a line segment matching template of the waveform signal based on the line segment data of each signal line segment. The extracting of the line segment includes extracting a line segment length Xi and a line segment width Yi of each signal line segment i of the K signal line segments, performing difference extension on the line segment length Xi and the line segment width Yi based on a preset length and a preset width, respectively, to obtain a normalized signal line segment j, and extracting fourth line segment data of the normalized signal line segment j.

Abstract: A psychological pressure evaluation method includes obtaining a physiological parameter measurement value of a user, determining a psychological pressure evaluation model of the user based on a physiological parameter reference value of the user and a common psychological pressure evaluation model, where the common psychological pressure evaluation model reflects a change relationship between a psychological pressure value change amount and a physiological parameter value change amount, and determining a psychological pressure evaluation result of the user based on the physiological parameter measurement value of the user and the psychological pressure evaluation model of the user.

Abstract: A method includes obtaining a filtered waveform signal, marking the waveform signal as K signal line segments based on monotonicity, extracting line segment data of each signal line segment, and determining a line segment matching template of the waveform signal based on the line segment data of each signal line segment, where the line segment matching template includes M consecutive signal line segments, and M is an integer less than K. The method further includes matching each of the K signal line segments with the M signal line segments included in the line segment matching template, and determining a target wave group of the waveform signal based on a matching result of each signal line segment. The method further includes determining periodic signal data of the waveform signal based on line segment data of the target wave group.

Abstract: A psychological stress estimation method includes obtaining a physiological signal of a user corresponding to a current moment, determining a first stress indicator of the user based on the current moment and a cyclic stress model of the user, determining a second stress indicator of the user based on the physiological signal of the user corresponding to the current moment and an instantaneous stress model of the user, where the physiological signal is an input of the instantaneous stress model, and determining the current stress indicator of the user based on the first stress indicator and the second stress indicator.

Abstract: A method for calibrating a blood pressure measurement device includes obtaining first blood pressure measurement information and a current confidence coefficient corresponding to the first blood pressure measurement information, determining the first blood pressure measurement information as blood pressure calibration information in response to the blood pressure measurement device comprising the historical calibration parameter list, and the current confidence coefficient being greater than or equal to a preset confidence coefficient or the historical confidence coefficient, and updating the historical calibration parameter list based on the first blood pressure measurement information and the current confidence coefficient.

Abstract: The present disclosure relates to blood pressure calibration period determining methods and devices. One example method includes obtaining, by a blood pressure measurement device, first physiological status information and second physiological status information of a tested person, where the first physiological status information is related information that causes a change in blood pressure of the tested person within a first time period after the blood pressure is calibrated, and where the second physiological status information is related information that causes a change in the blood pressure of the tested person within a second time period before the blood pressure is calibrated, and determining, by the blood pressure measurement device, a blood pressure calibration period based on a degree of change of the first physiological status information relative to the second physiological status information.

Abstract: Blood pressure detection signal sampling and compensation methods and apparatuses, and an example blood pressure signal collection system are described. One example method described includes controlling an electrocardiogram (ECG) sampling module and a photoplethysmogram (PPG) sampling module to simultaneously sample a standard periodic signal. Sampling frequencies and sampling end times are separately obtained. A sampling start time and a sampling frequency of the ECG sampling module or the PPG module is then compensated so that a sampling frequency deviation is less than a preset frequency threshold and a sampling end time difference is less than a preset time threshold.

Abstract: A biological signal collection method, apparatus, and system (800) and an electronic device (100) are provided. The biological signal collection method includes: obtaining output data of at least one motion sensor (S210); controlling collection duration of at least one biological signal of a user according to at least the output data of the at least one motion sensor (S220); and collecting the at least one biological signal of the user in the collection duration of the at least one biological signal (S230). According to the biological signal collection method, apparatus, and system (800) and the electronic device (100), biological signal collection duration can be properly controlled, and biological signal measurement precision can be improved.