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Reseach Article

Filtering Noise from Electrocardiogram using FIR filter with CSD coefficients

Published on November 2014 by S.sundar, S.karthick, S.valarmathy
International Conference on Innovations in Information, Embedded and Communication Systems
Foundation of Computer Science USA
ICIIECS - Number 3
November 2014
Authors: S.sundar, S.karthick, S.valarmathy
94171a5f-3157-4083-bcec-f90f6a979fc2

S.sundar, S.karthick, S.valarmathy . Filtering Noise from Electrocardiogram using FIR filter with CSD coefficients. International Conference on Innovations in Information, Embedded and Communication Systems. ICIIECS, 3 (November 2014), 15-19.

@article{
author = { S.sundar, S.karthick, S.valarmathy },
title = { Filtering Noise from Electrocardiogram using FIR filter with CSD coefficients },
journal = { International Conference on Innovations in Information, Embedded and Communication Systems },
issue_date = { November 2014 },
volume = { ICIIECS },
number = { 3 },
month = { November },
year = { 2014 },
issn = 0975-8887,
pages = { 15-19 },
numpages = 5,
url = { /proceedings/iciiecs/number3/18666-1479/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations in Information, Embedded and Communication Systems
%A S.sundar
%A S.karthick
%A S.valarmathy
%T Filtering Noise from Electrocardiogram using FIR filter with CSD coefficients
%J International Conference on Innovations in Information, Embedded and Communication Systems
%@ 0975-8887
%V ICIIECS
%N 3
%P 15-19
%D 2014
%I International Journal of Computer Applications
Abstract

Filtering of ECG signal is very important because noisy ECG signal can mask some important features of the Electrocardiogram (ECG). Hence the filters are necessary to remove this noise for proper analysis of the ECG signal. This paper presents the study of FIR filter using common subexpression elimination techniques for ECG signal Processing. The common subexpression elimination techniques minimize the logic operators (LO) in realizing finite impulse response (FIR) filters. The Canonical Signed Digit (CSD) representation of filter coefficients will increase the common subexpressions which reduces the design complexity. The design examples show that the average reduction of LO achieved using the optimized method is better than the other subexpression techniques. All the techniques are designed and simulated using MATLAB and Modelsim.

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Index Terms

Computer Science
Information Sciences

Keywords

Electrocardiogram Fir Filter Canonical Signed Digit Subexpression Elimination Logical Operator.