Neural networks for the diagnosis of coronary artery disease
- 2 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 419-424
- https://doi.org/10.1109/ijcnn.1992.226952
Abstract
Coronary stenoses produce sounds due to the turbulent blood flow in partially occluded arteries. If these sounds are reliably detected, they provide a simple, noninvasive way to detect coronary artery disease. The authors examine the utility of neural networks for extracting useful information from the diastolic heart sounds associated with coronary stenoses and the clinical examination variables. Fifty-five recordings (35 abnormal, 20 normal) were studied. Ten of the patients in the database were selected for use as training cases for the neural network. The network correctly identified 25 or 30 patients with coronary artery disease and 13 of 15 patients with no apparent occlusions. These results compare favorably with other noninvasive methods for detecting coronary artery disease.Keywords
This publication has 13 references indexed in Scilit:
- A Comparative Study Of Advanced Signal Processing Techniques For Detection Of Coronary Artery DiseasePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Noninvasive Detection Of Coronary Artery Disease Using Neural NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- High sensitivity PCG transducer for extended frequency applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Noninvasive detection of coronary stenoses before and after angioplasty using eigenvector methodsIEEE Transactions on Biomedical Engineering, 1990
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- Adaptive noise cancelling: Principles and applicationsProceedings of the IEEE, 1975
- Diastolic murmur of coronary artery stenosis.Heart, 1973
- Noninvasive Detection and Evaluation of Carotid Occlusive DiseaseArchives of Surgery, 1973
- Phonoangiography: A New Noninvasive Diagnostic Method for Studying Arterial DiseaseProceedings of the National Academy of Sciences, 1970