Motion noise detecting method based on photoplethysmography signals

Abstract

The invention discloses a motion noise detecting method based on photoplethysmography signals. The method lays a foundation for follow-up work of heart rate measurement. In the method, multiple photoplethysmography signals and acceleration signals within the same period are acquired by a reflecting type photoelectric sensor and a motion sensor; the acceleration signals are processed with a principal component analysis method, a reference signal related with motion noise is produced, and part of motion noise is eliminated in combination with a least mean square adaptive filter; the multiple processed photoplethysmography signals and acceleration signals form a frequency spectrum matrix, sparse structure features of rows of the frequency spectrum matrix are extracted, and a sparse signal reconstruction model is constructed; finally, the sparse signal reconstruction model is optimized with a regularization algorithm, and the spectrum peak position of the motion noise in the frequency spectra of multiple photoplethysmography signals is acquired. The motion noise in the photoplethysmography signals can be detected accurately, and high-accuracy measurement of the heart rate is realized.

Description

technical field [0001] The invention relates to the field of physiological signal processing, in particular to a motion noise detection method based on a photoplethysmography signal. Background technique [0002] Heart rate measurement, as an objective evaluation index of the physiological load of human exercise, has been widely used in various aspects of fitness and competitive sports training. Although the traditional heart rate measurement technology can achieve high measurement accuracy, there are many restrictions on the measurement conditions. In order to meet the requirements of future electronic health monitoring, heart rate measurement methods based on photoplethysmography signals have attracted great attention from academia and industry. [0003] However, photoplethysmography is a biological signal with weak signal strength and easily interfered by noise. In the state of exercise, due to tissue interference, venous blood volume, and optical path changes, it is ea...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is how to effectively detect the peak position of the strong motion noise in the photoplethysmography signal, so as to realize the high-precision measurement of heart rate

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