tailieunhanh - Noise removal from electrocardiogram signals using leaky and normalized version of adaptive noise canceller

In this paper we present an adaptive filter for denoising the ECG signal based on Leaky Normalized Least Mean Square (LNLMS) algorithm. The adaptive filter essentially minimizes the mean squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. | ISSN:2249-5789 Mohammad Zia-Ur-Rahman et al, International Journal of Computer Science & Communication Networks,Vol 1(1),September-October 2011 Noise Removal from Electrocardiogram Signals using Leaky and Normalized version of Adaptive Noise Canceller Sk. Nore Johny Basha, Mohammad Zia-Ur-Rahman and Dr B V Rama Mohana Rao Dept. of ., Narasaraopeta Engg. College, Narasaraopeta-522 601, India E-mail: mdzr_5@ Abstract— Adaptive filter is a primary method to filter electrocardiogram (ECG) or Cardiac signal, because it does not need the signal statistical characteristics. In this paper we present an adaptive filter for denoising the ECG signal based on Leaky Normalized Least Mean Square (LNLMS) algorithm. The adaptive filter essentially minimizes the mean squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Different filter structures are presented to eliminate the diverse forms of noise: baseline wander and 60 Hz power line interference. Finally, we have applied this algorithm on ECG signals from the MIT-BIH data base and compared its performance with the conventional LMS algorithm. The results show that the performance of the LNLMS based algorithm is superior to that of the LMS based algorithm in noise reduction. Keywords – adaptive noise cancelation, artifacts, ECG signals, LMS algorithm., Noise cancelation. 1. INTRIDUCTION The electrocardiogram (ECG) is a graphical representation of hearts functionality and is an important tool used for diagnosis of cardiac abnormalities. In clinical environment during acquisition, the ECG signal encounters with various types of artifacts. The predominant artifacts present in the ECG includes: Baseline Wander (BW) and Power-line Interference (PLI). These artifacts strongly affects the ST segment, degrades the signal quality, .

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