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Myocardial Ischemia Detection Algorithm (MIDA) : automated echocardiography sequence analysis for diagnosis of heart muscle damage

Ahanathapillai, Vijayalakshmi and Soraghan, John (2010) Myocardial Ischemia Detection Algorithm (MIDA) : automated echocardiography sequence analysis for diagnosis of heart muscle damage. In: Computing in Cardiology 2010. IEEE, pp. 405-408. ISBN 9781424473182

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Abstract

A Myocardial Ischemia Detection Algorithm (MIDA) is presented that analyses echocardiography sequences automatically in order to detect the presence of heart muscle damage. MIDA involves an image enhancement, fuzzy multi resolution edge detection to obtain the heart wall boundaries, composite motion image creation using the heart wall boundaries, followed by statistical pattern recognition and classification to identify the heart wall abnormality. The performance of MIDA is assessed using 62 real patient data with both normal and abnormal conditions. The results indicate that MIDA can be used as an effective tool for automatically diagnosing Myocardial Ischemia

Item type: Book Section
ID code: 33261
Keywords: support vector machine classification , cavity resonators, feature extraction, heart, image edge detection, noise, principal component analysis, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
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Depositing user: Pure Administrator
Date Deposited: 23 Sep 2011 16:22
Last modified: 06 Sep 2014 07:09
URI: http://strathprints.strath.ac.uk/id/eprint/33261

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