Title of article
Classification of Human Heart Abnormality using Time-frequency and Image Processing Technique
Author/Authors
Ahmad Bustami, Fadzlul Rahimi Universiti Kebangsaan Malaysia - MEMS-Automotive Research Group, Department of Mechanical and Materials Engineering, Malaysia , Md Saad, Mohd Hanif Universiti Kebangsaan Malaysia - MEMS-Automotive Research Group, Department of Mechanical and Materials Engineering, Malaysia , Mohd Nor, Mohd Jailani Universiti Kebangsaan Malaysia - MEMS-Automotive Research Group,Department of Mechanical and Materials Engineering, Malaysia , Aziz, Bilkis Banu Universiti Kebangsaan Malaysia - Faculty of Medicine - Pediatric Department, Malaysia
From page
183
To page
190
Abstract
This paper describes heart abnormalities classification procedures utilising features obtained from time-frequency spectogram of ECG heart and image processing techniques. Enhanced spatial features of lime-frequency spectogram were extracted and fed into a forward chaining expert system and the corresponding abnormalities were identified. 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 classification based on features that was extracted from data sets which were included in the knowledge base and data sets which were not included in the knowledge base.
Keywords
Heart abnormalities classification , expert system , simultaneous time , frequency analysis.
Record number
2588252
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