Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

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

Full text not available in this repository. (Request a copy from the Strathclyde author)

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