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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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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