Abstract
Common cardiac diseases such as cardio-myopathy, coronary artery diseases, and valve diseases, result in abnormal myocardial movement, which could eventually lead to heart failure, also called congestive heart failure (CHF). CHF is a disease in which the heart's ability to pump blood efficiently is lost. Possible presence of this disease and location of the abnormal activity can be diagnosed from patient's scan images, by determining the wall motion abnormalities. In this paper, a new principal component analysis (PCA) technique, Eigenhearts, is presented to diagnose the abnormal contractility of heart wall. Experiments were carried out using a preliminary set of simulated scan data and the results are discussed.
| Original language | English |
|---|---|
| Title of host publication | IET 3rd international conference on advances in medical, signal and information processing proceedings, 2006. MEDSIP 2006. |
| Place of Publication | Glasgow |
| Publisher | IEEE |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (Print) | 9780863416583 |
| DOIs | |
| Publication status | Published - 11 Jul 2006 |
| Event | 3rd International Conference on Advances in Medical, Signal and Information Processing - Glasgow, United Kingdom Duration: 17 Jul 2006 → 19 Jul 2006 |
Conference
| Conference | 3rd International Conference on Advances in Medical, Signal and Information Processing |
|---|---|
| Abbreviated title | MEDSIP 2006 |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 17/07/06 → 19/07/06 |
Keywords
- congestive heart failure
- echocardiography
- eigenhearts
- principal component analysis
- PCA
