Nonstationary Harmonic Modelling for ECG Removal in Surface of EMG Signal

Dr.P.S.Kolhe , Pathan Tanzeem Zaker Khan

ECG signal, EMG signal, Noise.

We present a compact approach for mitigating the presence of electrocardiograms (ECG) in surface electromyographic (EMG) signals by means of time-variant harmonic modeling of the cardiac artifact. Heart rate and QRS complex variability, which often account for amplitude and frequency time variations of the ECG, are simultaneously captured by a set of third-order constant-coefficient polynomials modulating a stationary harmonic basis in the analysis window. Such a characterization allows us to significantly suppress ECG from the mixture by preserving most of the EMG signal content at low frequencies (less than 20 Hz). Moreover, the resulting model is linear in parameters and the least-squares solution to the corresponding linear system of equations efficiently provides model parameter estimates. The comparative results suggest that the proposed method outperforms two reference methods in terms of the EMG preservation at low frequencies. Keywords: ECG signal, EMG signal, Noise.

Published Paper   E-Certificate

"Nonstationary Harmonic Modelling for ECG Removal in Surface of EMG Signal ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 8, page no.1032 - 1035, August-2023, Available :https://ijsdr.org/papers/IJSDR2308151.pdf

Volume 8 Issue 8, August-2023

Pages : 1032 - 1035

Paper Reg. ID: IJSDR_208336

Published Paper Id: IJSDR2308151

Downloads: 000347185

Research Area: Electronics & Communication Engg. 

Country: Osmanabad , Maharashtra , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2308151

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2308151

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition