Comparison of adaptive noise cancelers for ECG signals in wireless biotelemetry system

Abstract

In this paper, least mean square (LMS) adaptive filter and its several variants are used to remove the noise in degraded electrocardiographic (ECG) signals. One of the main interference sources in measurement of ECG signal includes 50 Hz power line that produces distortion in the original signal while measuring. Recently, adaptive filtering is supposed to be one of the most popular and effective methods for the analysis and processing of ECG signals. In this paper comparison has been made and suggests a suitable implementation of the noise canceller for the biotelemetry applications which require high signal to noise (SNR) ratios. These schemes generally involve simple procedures such as shift operations and simple addition and attain effective results as compared to other LMS based realizations.