Research on Signal Noise Processing Method Based on PPG Sleep Staging
When studying sleep staging,many scholars use the photocapacitive pulse wave(PPG)signal as the research object.However,various frequencies of noise are easily introduced during the PPG acquisition process,which affects the subsequent extraction of sleep staging features.A new signal noise processing method is proposed to remove PPG signal noise and improve the accuracy of physiological parameter feature calculation.It uses an improved AMPD algorithm to identify peaks and valleys,and performs baseline fitting through cubic spline inter-polation to remove baseline drift;Using wavelet transform combined with soft and hard thresholds to remove electromyographic noise;By com-bining features such as skewness,kurtosis,and mean with the n-sigma rule to detect motion artifacts,noise can be filtered out during sleep feature extraction.Verification experiments have shown that the proposed signal noise processing method effectively removes PPG signal noise while preserving signal characteristics,ensuring the representational ability of using PPG to study sleep staging features.
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维普
