Title: Power line interference removal from electrocardiogram signal using multi-order adaptive LMS filtering

Authors: K.S. Surekha; B.P. Patil

Addresses: Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India; Department of Electronics and Telecommunication, Army Institute of Technology, Dighi, Pune-411015, India ' Principal Army Institute of Technology, Dighi, Pune-411015, India

Abstract: Electrocardiogram (ECG) signals are susceptible to noise and interference from the external world. This paper presents the reduction of unwanted 50 Hz power line interference in ECG signal using multi-order adaptive LMS filtering. The novelty of the present method is the actual hardware implementation for power line interference removal. The design of adaptive filter is carried out by the simulink-based model and hardware-based design using FPGA. The performance measures used are signal to noise ratio (SNR), PSNR, MSE and RMSE. The novelty of the proposed method is to achieve better SNR by careful selection of the filter order using hardware.

Keywords: adaptive filter; ECG; LMS filter; multi-order; power line interference; field-programmable gate array; FPGA; simulink model; signal to noise ratio; SNR; PSNR.

DOI: 10.1504/IJBET.2021.10035779

International Journal of Biomedical Engineering and Technology, 2021 Vol.35 No.2, pp.135 - 151

Received: 03 Oct 2017
Accepted: 12 Jan 2018

Published online: 19 Feb 2021 *

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