Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6950696 | Biomedical Signal Processing and Control | 2018 | 17 Pages |
Abstract
In this paper, a novel method is proposed for baseline wander (BW) and power line interference (PLI) removal from electrocardiogram (ECG) signals. The proposed methodology is based on the eigenvalue decomposition of the Hankel matrix. It has been observed that the end-point eigenvalues of the Hankel matrix formed using noisy ECG signals are correlated with BW and PLI components. We have proposed a methodology to remove BW and PLI noise by eliminating eigenvalues corresponding to noisy components. The proposed concept uses one-step process for removing both BW and PLI noise simultaneously. The proposed method has been compared with other existing methods using performance measure parameters namely output signal to noise ratio (SNRout), and percent root mean square difference (PRD). Simulation results validate the better performance of the proposed method than compared methods at different noise levels. The proposed method is suitable for preprocessing of ECG signals.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Rishi Raj Sharma, Ram Bilas Pachori,