| Accessing heart dynamics to estimate durations of heart sounds. | |
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MedLine Citation:
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PMID: 16311448 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Segmentation of the phonocardiogram into its major sound components is the first step in the automated diagnosis of cardiac abnormalities. Almost all of the existing phonocardiogram segmentation algorithms utilize absolute amplitude or frequency characteristics of heart sounds, which vary from one cardiac cycle to the other and across different patients. The objective of this work is to provide an efficient phonocardiogram segmentation technique, under difficult recording situations, by utilizing the underlying complexity of the dynamical system (heart) giving rise to the heart sound. Complexity-based segmentation is invariant to amplitude and frequency variations of the heart sound and yields better time gates for heart sounds. |
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Authors:
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Vivek Nigam; Roland Priemer |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't Date: 2005-10-31 |
Journal Detail:
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Title: Physiological measurement Volume: 26 ISSN: 0967-3334 ISO Abbreviation: Physiol Meas Publication Date: 2005 Dec |
Date Detail:
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Created Date: 2005-11-28 Completed Date: 2006-02-01 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9306921 Medline TA: Physiol Meas Country: England |
Other Details:
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Languages: eng Pagination: 1005-18 Citation Subset: IM |
Affiliation:
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Electrical and Computer Engineering Department, University of Illinois at Chicago, M/C 154, 851 South Morgan, 60607, USA. vnigam1@uic.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence Computer Simulation Diagnosis, Computer-Assisted / methods* Heart Diseases / diagnosis*, physiopathology* Heart Sounds / physiology* Humans Models, Cardiovascular Pattern Recognition, Automated / methods Phonocardiography / methods* Reproducibility of Results Sensitivity and Specificity Sound Spectrography / methods* Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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