TY - GEN
T1 - A heart murmur detection system using spectrograms and artificial neural networks
AU - Ejaz, Khaled
AU - Nordehn, Glenn
AU - Alba-Flores, Rocio
AU - Rios-Gutierrez, Fernando
AU - Burns, Stanley
AU - Andrisevic, Nicholas
PY - 2004
Y1 - 2004
N2 - Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.
AB - Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.
KW - Applications
KW - Artificial Neural Networks
KW - Digital Signal Processing
KW - Heart Murmur
UR - http://www.scopus.com/inward/record.url?scp=11144325112&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:11144325112
SN - 0889864551
SN - 9780889864559
T3 - Proceedings of the IASTED International Conference on Circuits, Signals, and Systems
SP - 374
EP - 379
BT - Proceedings of the IASTED International Conference on Circuits, Signals, and Systems
A2 - Rashid, M.H.
T2 - Proceedings of the IASTED International Conference on Circuits, Signals, and Systems
Y2 - 28 November 2004 through 1 December 2004
ER -
