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Modified spectral subtraction for de-noising heart sounds: Interference Suppression via Spectral Comparison
Heart disease remains the leading cause of fatalities in the western world. To address this many long-term systems have been developed including heart sound monitors or phonocardiograms (PCG). In daily life ambient acoustic noise interferes with the heart sound signal. This noise must be suppressed...
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creator | Tosanguan, T. Dickinson, R.J. Drakakis, E.M. |
description | Heart disease remains the leading cause of fatalities in the western world. To address this many long-term systems have been developed including heart sound monitors or phonocardiograms (PCG). In daily life ambient acoustic noise interferes with the heart sound signal. This noise must be suppressed to allow effective monitoring of heart function. This paper proposes a new 2-channel signal processing technique, termed interference suppression via spectral comparison (ISSC) which is based on the 1-channel spectral subtraction algorithm, and aims at improving the quality of the recorded heart sound or PCG data. The proposed technique provides the best overall quality improvement when applied to six different heart sounds when compared to other noise cancellation algorithms namely: simple subtraction, adaptive least mean squares (LMS) and recursive least squares (RLS) filter and wavelet thresholding. |
doi_str_mv | 10.1109/BIOCAS.2008.4696866 |
format | conference_proceeding |
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To address this many long-term systems have been developed including heart sound monitors or phonocardiograms (PCG). In daily life ambient acoustic noise interferes with the heart sound signal. This noise must be suppressed to allow effective monitoring of heart function. This paper proposes a new 2-channel signal processing technique, termed interference suppression via spectral comparison (ISSC) which is based on the 1-channel spectral subtraction algorithm, and aims at improving the quality of the recorded heart sound or PCG data. 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The proposed technique provides the best overall quality improvement when applied to six different heart sounds when compared to other noise cancellation algorithms namely: simple subtraction, adaptive least mean squares (LMS) and recursive least squares (RLS) filter and wavelet thresholding.</description><subject>Acoustic noise</subject><subject>Acoustic signal processing</subject><subject>Cardiac disease</subject><subject>Heart</subject><subject>Interference suppression</subject><subject>Least squares approximation</subject><subject>Least squares methods</subject><subject>Noise cancellation</subject><subject>Noise reduction</subject><subject>Signal processing algorithms</subject><issn>2163-4025</issn><issn>2766-4465</issn><isbn>1424428785</isbn><isbn>9781424428786</isbn><isbn>1424428793</isbn><isbn>9781424428793</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkMtOwzAQRc2jEm3pF3TjFbuUsePYMbsS8ahU1EVhHbnJBAxpHOwEib8nVUGs7uKee6QZQuYMFoyBvr5dbbLldsEB0oWQWqZSnpAJE1wIniodn5IxV1JGQsjk7L9Ik_OhYDKOBPBkRCYHgQYldXJBZiG8AwCTKU9BjsnHkyttZbGkocWi86amod8NWXTWNbRynpYYNc4G27zSNzS-o8H1TRlu6Krp0FfosSmQbvu29RjCYfVlDd3-6TK3b423wTWXZFSZOuDsN6fk5f7uOXuM1puHVbZcR5aD7CLDVanSuIoRShQMEoUsgSrFw02AmgkWgyoYVqrYVZopYQClgcQIlHpgpuTq6G29--wxdPnehgLr2jTo-pBzEFrHSTyA8yNoETFvvd0b_53_vjr-Ac1zbcg</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Tosanguan, T.</creator><creator>Dickinson, R.J.</creator><creator>Drakakis, E.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20080101</creationdate><title>Modified spectral subtraction for de-noising heart sounds: Interference Suppression via Spectral Comparison</title><author>Tosanguan, T. ; Dickinson, R.J. ; Drakakis, E.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i206t-a27d783f3e0de41057e150f8e21630e9141307c1ef7cbf9174a0e6a05a4e69163</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acoustic noise</topic><topic>Acoustic signal processing</topic><topic>Cardiac disease</topic><topic>Heart</topic><topic>Interference suppression</topic><topic>Least squares approximation</topic><topic>Least squares methods</topic><topic>Noise cancellation</topic><topic>Noise reduction</topic><topic>Signal processing algorithms</topic><toplevel>online_resources</toplevel><creatorcontrib>Tosanguan, T.</creatorcontrib><creatorcontrib>Dickinson, R.J.</creatorcontrib><creatorcontrib>Drakakis, E.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tosanguan, T.</au><au>Dickinson, R.J.</au><au>Drakakis, E.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modified spectral subtraction for de-noising heart sounds: Interference Suppression via Spectral Comparison</atitle><btitle>2008 IEEE Biomedical Circuits and Systems Conference</btitle><stitle>BIOCAS</stitle><date>2008-01-01</date><risdate>2008</risdate><spage>29</spage><epage>32</epage><pages>29-32</pages><issn>2163-4025</issn><eissn>2766-4465</eissn><isbn>1424428785</isbn><isbn>9781424428786</isbn><eisbn>1424428793</eisbn><eisbn>9781424428793</eisbn><abstract>Heart disease remains the leading cause of fatalities in the western world. To address this many long-term systems have been developed including heart sound monitors or phonocardiograms (PCG). In daily life ambient acoustic noise interferes with the heart sound signal. This noise must be suppressed to allow effective monitoring of heart function. This paper proposes a new 2-channel signal processing technique, termed interference suppression via spectral comparison (ISSC) which is based on the 1-channel spectral subtraction algorithm, and aims at improving the quality of the recorded heart sound or PCG data. The proposed technique provides the best overall quality improvement when applied to six different heart sounds when compared to other noise cancellation algorithms namely: simple subtraction, adaptive least mean squares (LMS) and recursive least squares (RLS) filter and wavelet thresholding.</abstract><pub>IEEE</pub><doi>10.1109/BIOCAS.2008.4696866</doi><tpages>4</tpages></addata></record> |
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language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Acoustic noise Acoustic signal processing Cardiac disease Heart Interference suppression Least squares approximation Least squares methods Noise cancellation Noise reduction Signal processing algorithms |
title | Modified spectral subtraction for de-noising heart sounds: Interference Suppression via Spectral Comparison |
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