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Updated: Jun 10, 2026

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
Published on: July 26, 2013
[The elimination of movement artifact in pulse signals]
Yingfei Yang1, Fangming Hu, Weifeng Tong
1School of Electronic Engineering, Xidian University, Xi'an 710071, China.
Abstract:
It is difficult to extract signals under Low Signal Noise Ratio in biomedical signal processing. The elimination of movement artifact is really a bottleneck. A new solution for the movement artifact in pulse signal is proposed in this paper. According to pulse signal features, the signal is decomposed by using wavelet transform firstly. Then empirical mode decomposition (EMD) is applied to the wavelet coefficients in frequency band of useful signals, thus the signal and movement artifact can be distinguished effectively. Furthermore, the effectiveness of the proposed approach is verified by signal-to-noise ratio, energy ratio, cross correlation coefficient and power spectrum. This method can eliminate not only movement artifact, but also baseline wander and high-frequency noise. Thus, it provides an effective approach for the calculation of pulse rate and blood oxygen saturation.
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