Method and device for detecting signal quality based on differential wave-to-interference ratio

Abstract

An embodiment of the invention relates to a method and device for detecting signal quality based on difference wave ratio. The method includes: acquiring a PPG signal; sampling signal data of the PPGsignal according to a signal sampling frequency threshold to generate a PPG data sequence; taking total number of signal point data included in the PPG data sequence as total number of signals; performing a peak point detection on the PPG data sequence using a peak detection algorithm to generate a peak point sequence; performing quality detection on the number of signals per unit time according to the peak point sequence and the threshold range of the number of signals per unit time, and generating a first quality detection result; when the first quality detection result is qualified, performing PPG signal width calculation according to the peak point sequence to generate a signal width sequence; performing quality detection on the difference wave ratio according to the signal width sequence, the difference wave deviation multiple threshold and the difference wave ratio threshold, and generating a second quality detection result; and when the second quality detection result is qualified, setting the PPG signal quality status to qualified.

Description

technical field [0001] The present invention relates to the technical field of electrophysiological signal processing, and in particular to a method and device for detecting signal quality based on difference wave ratio. Background technique [0002] Photoplethysmograph (PPG) signals are a group of signals that use light sensors to identify and record changes in light intensity of a specific light source. When the heart beats, the blood flow per unit area in the blood vessel changes periodically, and the corresponding blood volume also changes accordingly, so that the PPG signal reflecting the amount of light absorbed by the blood also shows a periodic change trend. Therefore, the blood pressure can be predicted by analyzing the PPG signal waveform reflecting the light energy absorbed by the blood in the blood vessel. However, in the actual application process, we found that the PPG signal is easily affected by factors such as sensor sensitivity, physiological state of the ...

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Problems solved by technology

However, in the actual application process, we found that the PPG signal is easily affected by factors such as sensor sensitivity, physiological state of the tester, and environmental signal interference during the acquisition process. Depending on the characteristics of each case, the prediction of blood pressure using the affected PPG signal will reduce the accuracy of the results and even lead to errors.

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