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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(5): 337-342 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.982

The Application of Adaptive LMF Quadratic and Cubic Volterra Filters to ECG Signals

W. A. Zgallai
Abstract—This paper proposes to decompose the maternal transabdominal ECG signal into its linear, quadratic and cubic parts and retain only the linear part for further signal processing. The synthesiser will model the quadratic and cubic parts of the transabdominal ECG signal. This is done by predicting each sample of the maternal transabdominal full cardiac cycles. In order to linearise (retain the linear part and remove the quadratic and cubic parts) ECG signals, non-linear structures should be utilised. This paper proposes to linearise the fetal scalp electrode, the maternal chest, and the maternal transabdominal ECG signals using adaptive least-mean-square (LMS) and least-mean-fourth-based (LMF), quadratic and cubic Volterra structures.

Index Terms—Adaptive algorithms, volterra filters, ECG signals.

W. A. Zgallai is with the Faculty of Engineering Technology and Science, Higher Colleges of Technology, UAE (e-mail: walidzgallai@yahoo.co.uk).


Cite:W. A. Zgallai, "The Application of Adaptive LMF Quadratic and Cubic Volterra Filters to ECG Signals," International Journal of Computer Theory and Engineering vol. 7, no. 5, pp. 337-342, 2015.

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