| A framework for the analysis of acoustical cardiac signals. | |
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MedLine Citation:
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PMID: 17405372 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Skilled cardiologists perform cardiac auscultation, acquiring and interpreting heart sounds, by implicitly carrying out a sequence of steps. These include discarding clinically irrelevant beats, selectively tuning in to particular frequencies and aggregating information across time to make a diagnosis. In this paper, we formalize a series of analytical stages for processing heart sounds, propose algorithms to enable computers to approximate these steps, and investigate the effectiveness of each step in extracting relevant information from actual patient data. Through such reasoning, we provide insight into the relative difficulty of the various tasks involved in the accurate interpretation of heart sounds. We also evaluate the contribution of each analytical stage in the overall assessment of patients. We expect our framework and associated software to be useful to educators wanting to teach cardiac auscultation, and to primary care physicians, who can benefit from presentation tools for computer-assisted diagnosis of cardiac disorders. Researchers may also employ the comprehensive processing provided by our framework to develop more powerful, fully automated auscultation applications. |
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Authors:
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Zeeshan Syed; Daniel Leeds; Dorothy Curtis; Francesca Nesta; Robert A Levine; John Guttag |
Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 54 ISSN: 0018-9294 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2007 Apr |
Date Detail:
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Created Date: 2007-04-04 Completed Date: 2007-04-24 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 651-62 Citation Subset: IM |
Affiliation:
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Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. zhs@csail.mit.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Cluster Analysis Diagnosis, Computer-Assisted / methods* Heart Auscultation / methods* Heart Murmurs / diagnosis*, physiopathology* Humans Mitral Valve Insufficiency / diagnosis*, physiopathology* Pattern Recognition, Automated / methods Reproducibility of Results Sensitivity and Specificity Sound Spectrography / methods* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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