Paper Title:
A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform
  Abstract

This paper adopts a synthesis algorithm which combines FIR filters and wavelet threshold de-noising method to complete ECG de-noising. Firstly, we designed a FIR equiripple bandpass filter using Matlab FDATool to remove baseline drift, power interference and the high frequency part of muscle moments. Then we adopted an improved wavelet threshold de-noising algorithm to remove the remaining muscle moments with less decomposing levels. The algorithm was implemented on Matlab platform. The experimental results show that the algorithm is simple in design and has less calculation and good de-noising effect, which is superior to conventional wavelet threshold de-noising algorithm, and can be used in clinical analysis.

  Info
Periodical
Advanced Materials Research (Volumes 271-273)
Edited by
Junqiao Xiong
Pages
247-252
DOI
10.4028/www.scientific.net/AMR.271-273.247
Citation
L. Shi, Y. J. Si, L. Q. Lang, C. Yao, L. L. Liu, "A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform", Advanced Materials Research, Vols. 271-273, pp. 247-252, 2011
Online since
July 2011
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$32.00
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