Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals: Application to wireless biotelemetry

Authors:
Muhammad Zia Ur Rahman;Rafi Ahamed Shaik;D. V. Rama Koti Reddy
Affiliations:
Department of Electronics and Communication Engineering, Narasaraopeta Engineering College, Narasaraopeta 522601, India;Department of Electronics and Communication Engineering, Indian Institute of Technology, Guwahati 781039, India;Department of Instrumentation Engineering, College of Engineering, Andhra University, Visakhapatnam 530003, India
Venue:
Signal Processing
Year:
2011

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Abstract

In this paper, several simple and efficient sign based normalized adaptive filters, which are computationally superior having multiplier free weight update loops are used for cancelation of noise in electrocardiographic (ECG) signals. The proposed implementation is suitable for applications such as biotelemetry, where large signal to noise ratios with less computational complexity are required. These schemes mostly employ simple addition, shift operations and achieve considerable speed up over the other least mean square (LMS) based realizations. Simulation studies shows that the proposed realization gives better performance compared to existing realizations in terms of signal to noise ratio and computational complexity.