北京生物醫(yī)學(xué)工程

基于小波閾值法的脈搏波去噪算法研究

Pulse Wave Denoising Algorithm Based On the Wavelet Threshold method

作者：吳星林林陳海軍徐之標(biāo)

單位：廣東醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院 (廣東東莞 523808)

關(guān)鍵詞：脈搏波；運(yùn)動(dòng)偽差；小波閾值法；基線漂移；信噪比；均方差；平滑度

分類號(hào)：R318.04

出版年·卷·期（頁(yè)碼）：2021·40·1（38-45）

摘要：

目的消除可穿戴式脈搏波監(jiān)測(cè)設(shè)備在連續(xù)測(cè)量中由于運(yùn)動(dòng)造成的運(yùn)動(dòng)偽差，保證設(shè)備準(zhǔn)確性和穩(wěn)定性。方法通過選取合適的小波基、小波最大分解層數(shù)、閾值函數(shù)和閾值方法，對(duì)脈搏波信號(hào)進(jìn)行小波閾值處理，提出了一種基于小波閾值法去除脈搏波噪聲的算法。并針對(duì)在脈搏波信號(hào)采集過程中出現(xiàn)的基線漂移、工頻干擾和運(yùn)動(dòng)偽差，與加窗傅里葉變換去噪后的結(jié)果進(jìn)行對(duì)比。結(jié)果在信噪比、均方差和平滑度等關(guān)鍵指標(biāo)上，小波閾值法的效果更優(yōu)。利用db9小波基對(duì)脈搏波信號(hào)進(jìn)行6層小波分解，設(shè)置啟發(fā)式閾值所得到的處理效果最好。結(jié)論該算法能夠有效抑制工頻干擾和運(yùn)動(dòng)干擾，使信噪比提高22dB，均方差接近于0，且平滑度降為原來的11%，實(shí)現(xiàn)脈搏波信號(hào)采集中干擾的有效去除。

Objective To eliminate the error caused by motion in the continuous measurement of the wearable pulse wave monitoring device so that the accuracy and stability of the device can be ensured. Methods By choosing the suitable wavelet base, the biggest wavelet decomposition layer, the threshold function and threshold method, we present an algorithm based on the wavelet threshold method to remove pulse wave noise and compare the results of windowed Fourier transform denoising with the baseline drift interference and motion error in pulse wave signal acquisition. Results The wavelet threshold method is more effective in key indicators such as the signal-to-noise ratio, mean square deviation and smoothness. In addition, after using DB9 wavelet base to decompose pulse wave signal with a 6-level wavelet and setting the heuristic threshold, we find that the processing effect is the best. Conclusions This algorithm can effectively suppress power frequency interference and motion interference so that the signal-to-noise ratio will be increased by 22dB, the mean square deviation will get close to 0, and the smoothness will increase to the original 11%, which will realize the effective removal of interference in the pulse wave signal acquisition.

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