Open AccessBaseline wander and power‐line interference elimination of ECG signals using efficient signal‐piloted filtering
Author(s) -
Mian Qaisar Saeed
Publication year - 2020
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2019.0116
Subject(s) - interference (communication) , computer science , kalman filter , hilbert–huang transform , signal (programming language) , signal to noise ratio (imaging) , noise (video) , signal to interference ratio , power (physics) , speech recognition , signal processing , algorithm , line (geometry) , artificial intelligence , mathematics , telecommunications , white noise , channel (broadcasting) , physics , radar , geometry , quantum mechanics , image (mathematics) , programming language
A signal‐piloted linear phase filtering tactic for removing baseline wander and power‐line interference from the electrocardiogram (ECG) signals is suggested. The system is capable of adjusting its parameters by following the incoming signal variations. It renders the processing of lesser samples by inferior order filters. The applicability is demonstrated by using the MIT‐BIH ECG database. The precision of the approach is also studied regarding the signal‐to‐noise ratio (SNR). Results showed that the proposed method achieves a 2.18‐fold compression gain and notable computational efficiency over conventional counterpart while securing an analogous output SNR. A comparison of the designed solution is made with the contemporary empirical mode decomposition with Kalman filtering and eigenvalue decomposition based tactics. Results show that the suggested method performs better in terms of output SNR for the studied cases.