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Detection of coronary artery disease with an electronic stethoscope
A noninvasive method for detection of coronary artery disease (CAD) with an electronic stethoscope is proposed. Heart sounds recorded in clinical settings are often contaminated with background noise and noise caused by friction between the skin and the stethoscope. A method was developed to reduce...
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creator | Schmidt, S.E. Holst-Hansen, C. Graff, C. Toft, E. Struijk, J.J. |
description | A noninvasive method for detection of coronary artery disease (CAD) with an electronic stethoscope is proposed. Heart sounds recorded in clinical settings are often contaminated with background noise and noise caused by friction between the skin and the stethoscope. A method was developed to reduce the influence of the noise artifacts. The diastolic parts of the heart sounds were divided into multiple sub-segments, where noisy sub-segments were indentified as sub-segments with a low degree of stationarity or with a high energy level. The sub-segments not identified as noisy were analyzed with an autoregressive (AR) model, where the pole-magnitude of the 1 st pole was used as a discriminating parameter. A test on 50 subjects showed that removal of the noisy sub-segments before analyses improved the diagnostic performance of the AR-model considerably, thereby reducing the influence of noise related to the use of a handhold stethoscope. |
doi_str_mv | 10.1109/CIC.2007.4745596 |
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Heart sounds recorded in clinical settings are often contaminated with background noise and noise caused by friction between the skin and the stethoscope. A method was developed to reduce the influence of the noise artifacts. The diastolic parts of the heart sounds were divided into multiple sub-segments, where noisy sub-segments were indentified as sub-segments with a low degree of stationarity or with a high energy level. The sub-segments not identified as noisy were analyzed with an autoregressive (AR) model, where the pole-magnitude of the 1 st pole was used as a discriminating parameter. 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A test on 50 subjects showed that removal of the noisy sub-segments before analyses improved the diagnostic performance of the AR-model considerably, thereby reducing the influence of noise related to the use of a handhold stethoscope.</description><subject>Acoustic noise</subject><subject>Background noise</subject><subject>Coronary arteriosclerosis</subject><subject>Energy states</subject><subject>Friction</subject><subject>Heart</subject><subject>Noise level</subject><subject>Noise reduction</subject><subject>Skin</subject><subject>Stethoscope</subject><issn>0276-6574</issn><issn>2325-8853</issn><isbn>1424425336</isbn><isbn>9781424425334</isbn><isbn>1424425344</isbn><isbn>9781424425341</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkEtLAzEUheMLnFb3gpv8gRlvXncmSxmrFgpudF3S5A6N1EmZBMR_74AFV9_ifBwOh7E7AY0QYB_6dd9IgLbRrTbG4hlbCC21lkZpfc4qqaSpu86oi_9A4SWrQLZYo2n1NVvk_AkgrG1NxfonKuRLTCNPA_dpSqObfribCs0IMZPLxL9j2XM3cjrM7qxEz3Ohsk_ZpyPdsKvBHTLdnrhkH8-r9_613ry9rPvHTe0l6lIHkiTNoBFspxV1QWFQdgcYUAU7dEKTRA9dcCCQYGcGZxEDoJw9IqWW7P6vNxLR9jjFr3nq9vSE-gWWfk4I</recordid><startdate>200709</startdate><enddate>200709</enddate><creator>Schmidt, S.E.</creator><creator>Holst-Hansen, C.</creator><creator>Graff, C.</creator><creator>Toft, E.</creator><creator>Struijk, J.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200709</creationdate><title>Detection of coronary artery disease with an electronic stethoscope</title><author>Schmidt, S.E. ; Holst-Hansen, C. ; Graff, C. ; Toft, E. ; Struijk, J.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c264t-de2e25f4609843e8d36d39b06d63d9f814e26c08da016e0b5fa966d0626d3ee33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Acoustic noise</topic><topic>Background noise</topic><topic>Coronary arteriosclerosis</topic><topic>Energy states</topic><topic>Friction</topic><topic>Heart</topic><topic>Noise level</topic><topic>Noise reduction</topic><topic>Skin</topic><topic>Stethoscope</topic><toplevel>online_resources</toplevel><creatorcontrib>Schmidt, S.E.</creatorcontrib><creatorcontrib>Holst-Hansen, C.</creatorcontrib><creatorcontrib>Graff, C.</creatorcontrib><creatorcontrib>Toft, E.</creatorcontrib><creatorcontrib>Struijk, J.J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Schmidt, S.E.</au><au>Holst-Hansen, C.</au><au>Graff, C.</au><au>Toft, E.</au><au>Struijk, J.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Detection of coronary artery disease with an electronic stethoscope</atitle><btitle>2007 Computers in Cardiology</btitle><stitle>CIC</stitle><date>2007-09</date><risdate>2007</risdate><spage>757</spage><epage>760</epage><pages>757-760</pages><issn>0276-6574</issn><eissn>2325-8853</eissn><isbn>1424425336</isbn><isbn>9781424425334</isbn><eisbn>1424425344</eisbn><eisbn>9781424425341</eisbn><abstract>A noninvasive method for detection of coronary artery disease (CAD) with an electronic stethoscope is proposed. Heart sounds recorded in clinical settings are often contaminated with background noise and noise caused by friction between the skin and the stethoscope. A method was developed to reduce the influence of the noise artifacts. The diastolic parts of the heart sounds were divided into multiple sub-segments, where noisy sub-segments were indentified as sub-segments with a low degree of stationarity or with a high energy level. The sub-segments not identified as noisy were analyzed with an autoregressive (AR) model, where the pole-magnitude of the 1 st pole was used as a discriminating parameter. A test on 50 subjects showed that removal of the noisy sub-segments before analyses improved the diagnostic performance of the AR-model considerably, thereby reducing the influence of noise related to the use of a handhold stethoscope.</abstract><pub>IEEE</pub><doi>10.1109/CIC.2007.4745596</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | 2007 Computers in Cardiology, 2007, p.757-760 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Acoustic noise Background noise Coronary arteriosclerosis Energy states Friction Heart Noise level Noise reduction Skin Stethoscope |
title | Detection of coronary artery disease with an electronic stethoscope |
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