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Body motion noise reduction from wavelet filter scaling level decision with Savitzky-Golay smoothing filter application

机译:用Savitzky-Golay平滑过滤器应用的小波滤波缩放级别决定的身体运动降噪

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摘要

Biosignal acquisition procedure includes noise components from the power sources and the charge variations at electrode contacts. One of main causes of the electrode contact charge variation is the body motion. This paper works on denoising electrocardiography (ECG) signal due to body motion. Wavelet transform reduces noise components of ECG signals, and the proposed smoothing algorithm selectively reduces the motion induced burst signals.
机译:生物循值采集过程包括来自电源源的噪声分量和电极触点的电荷变化。电极接触电荷变化的主要原因之一是体运动。本文适用于由于身体运动引起的心电图(ECG)信号。小波变换可降低ECG信号的噪声分量,并且所提出的平滑算法选择性地降低了运动感应突发信号。

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