TY - GEN
T1 - Detection and identification of heart sounds using homomorphic envelogram and self-organizing probabilistic model
AU - Gill, D.
AU - Gavrieli, N.
AU - Intrator, N.
PY - 2005
Y1 - 2005
N2 - This work presents a novel method for automatic detection and identification of heart sounds. Homomorphic filtering is used to obtain a smooth envelogram of the phonocardiogram, which enables a robust detection of events of interest in heart sound signal. Sequences of features extracted from the detected events are used as observations of a hidden Markov model. It is demonstrated that the task of detection and identification of the major heart sounds can be learned from unlabelled phonocardiograms by an unsupervised training process and without the assistance of any additional synchronizing channels.
AB - This work presents a novel method for automatic detection and identification of heart sounds. Homomorphic filtering is used to obtain a smooth envelogram of the phonocardiogram, which enables a robust detection of events of interest in heart sound signal. Sequences of features extracted from the detected events are used as observations of a hidden Markov model. It is demonstrated that the task of detection and identification of the major heart sounds can be learned from unlabelled phonocardiograms by an unsupervised training process and without the assistance of any additional synchronizing channels.
UR - http://www.scopus.com/inward/record.url?scp=33847130574&partnerID=8YFLogxK
U2 - 10.1109/CIC.2005.1588267
DO - 10.1109/CIC.2005.1588267
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AN - SCOPUS:33847130574
SN - 0780393376
SN - 9780780393370
T3 - Computers in Cardiology
SP - 957
EP - 960
BT - Computers in Cardiology, 2005
T2 - Computers in Cardiology, 2005
Y2 - 25 September 2005 through 28 September 2005
ER -