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

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...

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Bibliographic Details
Published in:Healthcare technology letters 2020-08, Vol.7 (4), p.114-118
Main Author: Mian Qaisar, Saeed
Format: Article
Language:English
Subjects:
2.18-fold compression gain
Algorithms
analogous output SNR
baseline wander interference elimination
Cardiac stress tests
computational efficiency
ECG signals
eigenvalue decomposition based tactics
electrocardiogram signals
Electrocardiography
filtering theory
inferior order filters
medical signal processing
MIT‐BIH ECG database
power-line interference elimination
Signal processing
signal variations
signal-piloted linear phase filtering tactics
signal-to-noise ratio
Wavelet transforms
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Summary: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.
ISSN:2053-3713
2053-3713
DOI:10.1049/htl.2019.0116