Real Time EMG Noise Cancellation from ECG Signals Using Adaptive Filtering
| Title | Real Time EMG Noise Cancellation from ECG Signals Using Adaptive Filtering |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | El hanine, M., Abdelmounim, E., Haddadi, R., Belaguid, A. |
| Conference Name | Proceedings of the 2Nd International Conference on Computing and Wireless Communication Systems |
| Date Published | November 2017 |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5306-9 |
| Keywords | adaptive filtering, ECG, EMG, Metrics, pubcrawl, resilience, Resiliency, Scalability |
| Abstract | This paper presents a quantitative study of adaptive filtering to cancel the EMG artifact from ECG signals. The proposed adaptive algorithm operates in real time; it adjusts its coefficients simultaneously with signals acquisition minimizing a cost function, the summation of weighted least square errors (LSE). The obtained results prove the success and the effectiveness of the proposed algorithm. The best ones were obtained for the forgetting factor equals to 0.99 and the regularization parameter equals to 0.02.. |
| URL | https://dl.acm.org/doi/10.1145/3167486.3167543 |
| DOI | 10.1145/3167486.3167543 |
| Citation Key | el_hanine_real_2017 |