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Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 6 | Page No.: 820-825
DOI: 10.3923/jas.2007.820.825
 
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Classification of Heart Abnormalities Using Artificial Neural Network

Mohd Hanif Md Saad, Mohd Jailani Mohd Nor , Fadzlul Rahimi Ahmad Bustami and Ruzelita Ngadiran

Abstract:
This paper describes heart abnormalities classification procedures utilising features obtained from Time-Frequency Spectogram and Image Processing Techniques. Enhanced spatial features of time-frequency spectogram were extracted and fed into a Multi-Layer, Back-Propagation trained Artificial Neural Network and the corresponding abnormalities were classified. A confidence factor is calculated for every classification result indicating the degre of belief that the classification is true. It was observed that the classification method was able to give 100% correct classifcation based on features that was extracted from the training data sets and the validation data sets.
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How to cite this article:

Mohd Hanif Md Saad, Mohd Jailani Mohd Nor , Fadzlul Rahimi Ahmad Bustami and Ruzelita Ngadiran , 2007. Classification of Heart Abnormalities Using Artificial Neural Network. Journal of Applied Sciences, 7: 820-825.

DOI: 10.3923/jas.2007.820.825

URL: https://scialert.net/abstract/?doi=jas.2007.820.825

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