Research Article
Power Line Interference Suppression for ECG Signal Recovery
@INPROCEEDINGS{10.4108/eai.13-7-2017.2270041, author={Xiaohua Peng and Hongqing Liu and Xin Xu and Yi Zhou}, title={Power Line Interference Suppression for ECG Signal Recovery}, proceedings={10th EAI International Conference on Mobile Multimedia Communications}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2017}, month={12}, keywords={ecg recovery pli suppression transform domain sparsity joint estimation}, doi={10.4108/eai.13-7-2017.2270041} }- Xiaohua Peng
Hongqing Liu
Xin Xu
Yi Zhou
Year: 2017
Power Line Interference Suppression for ECG Signal Recovery
MOBIMEDIA
EAI
DOI: 10.4108/eai.13-7-2017.2270041
Abstract
The electrocardiogram (ECG) recovery is very important for clinical diagnosis, especially in the presence of power line interference (PLI). In this work, to suppress the PLI, it is modeled as a linear combination of sinusoidal signals that have a sparse representation in the frequency domain. To accurately reconstruct the ECG, the time domain as a sparse domain for ECG signal is exploited. Based on the sparse representations, a joint optimization estimation problem is developed that allows one to simultaneously perform the ECG recovery and PLI suppression. In order to solve the optimization problem, two efficient schemes based on the greedy algorithms such as orthogonal matching pursuit(OMP) and compressive sampling matching pursuit (CoSaMP) are utilized. Finally, numerical studies demonstrate that the JCoSaMP estimation algorithm outperforms the state-of-the-art approaches.
