Cover
Vol. 4 No. 1 (2008)

Published: September 30, 2008

Pages: 86-91

Original Article

ECG SIGNAL RECOGNITION BASED ON WAVELET TRANSFORM USING NEURAL NETWORKS AND FUZZY SYSTEMS

HAIDER MEHDI ABDUL-RIDHA 1 ABDULADHEM A. ALI 2
1Department of Electrical Engineering, College of Engineering, University of Basrah, Basrah, IRAQ.
2Department of Computer Engineering, College of Engineering, University of Basrah, Basrah, IRAQ.
History
  • Received: July 30, 2008
  • Available Online: September 30, 2008
DOI

https://doi.org/10.37917/ijeee.4.1.7

Abstract

This work presents aneural and fuzzy based ECG signal recognition system based on wavelet transform. The suitable coefficients that can be used as a feature for each fuzzy network or neural network is found using a proposed best basis technique. Using the proposed best bases reduces the dimension of the input vector and hence reduces the complexity of the classifier. The fuzzy network and the neural network parameters are learned using back propagation algorithm.

Keywords

References

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