Baseline wander and power-line interference elimination of ECG signals using efficient signal-piloted filtering

Healthcare Technology Letters

article

Saeed Mian Qaisar¹ 

[1] Department of Electrical and Computer Engineering, EFfat University

关键词: electrocardiography;    medical signal processing;    filtering theory;    power-line interference elimination;    ECG signals;    electrocardiogram signals;    signal variations;    inferior order filters;    MIT-BIH ECG database;    signal-to-noise ratio;    2.18-fold compression gain;    computational efficiency;    analogous output SNR;    baseline wander interference elimination;    signal-piloted linear phase filtering tactics;    eigenvalue decomposition based tactics;   

DOI  :  10.1049/htl.2019.0116

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

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.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND