10th EAI International Conference on Mobile Multimedia Communications

Research Article

Power Line Interference Suppression for ECG Signal Recovery

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  • @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
Xiaohua Peng1,*, Hongqing Liu1, Xin Xu1, Yi Zhou1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: pengxiaohua_sunset@outlook.com

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.