Respiratory monitoring joint optimization method, computer device and readable storage medium

Abstract

The present application relates to a respiratory monitoring joint optimization method, a computer device and a readable storage medium. The method includes: obtaining first indicator values ​​corresponding to at least two physiological indicators in the current respiratory cycle; each first indicator value is estimated based on the first PPG signal obtained by the sampling controller controlling the PPG sensor to sample; based on each first indicator value, the predicted value of each physiological indicator in the next respiratory cycle is predicted; based on each predicted value, a preset accuracy optimization coefficient, a preset power consumption optimization coefficient and the current characteristic coefficient of the light source of the PPG sensor, the target sampling parameter corresponding to the minimum value obtained in the case of joint power consumption calculation and error bound calculation is determined; the target sampling parameter is used for the sampling controller to control the PPG sensor to sample in the next respiratory cycle; based on the target sampling parameter, the sampling controller is adjusted for sampling parameters. The use of this method can reduce the power consumption of the sensor while ensuring the estimation accuracy.

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