| Computer-assisted detection of systolic murmurs associated with hypertrophic cardiomyopathy: a pilot study. | |
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MedLine Citation:
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PMID: 15745287 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A pilot study was conducted to ascertain the level of agreement between auscultatory findings derived from heart sound recordings by a cardiologist and the results of a computer-based heart sound analysis algorithm. Heart sound recordings were obtained from volunteer subjects previously diagnosed with hypertrophic cardiomyopathy. Twenty-second recordings were obtained at each of 4 standard auscultatory locations on the precordium in 2 postures: standing and reclining. Detailed auscultatory findings were derived by a cardiologist, who listened to the heart sound recordings and was blinded to the study design. The recordings were analyzed by an algorithm that detects heart sounds and murmurs, and derives associated timing and energy parameters. The algorithm results were compared with the auscultatory findings provided by the cardiologist and correlated with the medical histories provided by the volunteer subjects. A high degree of concordance between the medical histories, auscultatory findings, and computer analyses was obtained. The 1st and 2nd heart sounds were detected with high sensitivity (90.7%) and positive predictivity (93.0%). Systolic murmurs were detected with a sensitivity that increased from 50% for grade 1 to 100% for grades 2-3 and 3. The signal energy in the mid-frequency range correlated well with murmur grade judgments, and also agreed well with the cardiologist's judgments of the relative loudness of murmurs in standing versus reclining postures. The computer analysis algorithm thus instantiates the objective detection and identification of apical systolic murmurs that are louder in standing than in reclining postures; such murmurs are a cardinal sign of hypertrophic obstructive cardiomyopathy. |
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Authors:
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Raymond L Watrous; Julius Bedynek; Taragay Oskiper; Deborah M Grove |
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Publication Detail:
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Type: Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Texas Heart Institute journal / from the Texas Heart Institute of St. Luke's Episcopal Hospital, Texas Children's Hospital Volume: 31 ISSN: 0730-2347 ISO Abbreviation: Tex Heart Inst J Publication Date: 2004 |
Date Detail:
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Created Date: 2005-03-04 Completed Date: 2005-03-24 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 8214622 Medline TA: Tex Heart Inst J Country: United States |
Other Details:
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Languages: eng Pagination: 368-75 Citation Subset: IM |
Affiliation:
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Zargis Medical Corporation, Princeton, NJ 08540, USA. watrous@zargis.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Algorithms* Cardiomyopathy, Hypertrophic / complications* Diagnosis, Computer-Assisted* Female Heart Auscultation* Heart Murmurs / diagnosis*, etiology Humans Male Middle Aged Pilot Projects Posture Sensitivity and Specificity Severity of Illness Index Signal Processing, Computer-Assisted* |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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