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
| 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 |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 23 Sep 2011 16:22 |
| Last modified: | 05 Jul 2012 14:16 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/33261 |
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