Title :
Acoustical detection of coronary artery disease
Author :
Bahadirlar, Yildinm ; Gülcür, H. Özcan ; Aytekin, Saide ; Gülmez, Ufuk
Author_Institution :
Inst. of Biomed. Eng., Bogazici Univ., Istanbul, Turkey
Abstract :
Heart sounds of normal persons and persons with coronary artery disease were processed and characterized using frequency domain adaptive filtering and AR modeling methods. Distinctive AR parameters were obtained between diseased and normal groups. A two layer perceptron, trained using the data obtained, correctly classified 15 out of 20 cases not included in training phase
Keywords :
cardiology; autoregressive modeling; coronary artery disease; frequency domain adaptive filtering; heart sounds analysis; medical diagnostic technique; normal persons; patient classification; two layer perceptron; Acoustic noise; Acoustic signal detection; Adaptive filters; Angiography; Coronary arteriosclerosis; Electrocardiography; Frequency domain analysis; Heart; Parameter estimation; Probes;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415431
