A new seismocardiography segmentation algorithm for diastolic timed vibrations

An algorithm based on the combination of electrocardiography (ECG) and seismocardiogranphy (SCG) is used to detect the start and the end of diastole in diastolic timed vibrations (DTV). The proposed algorithm uses the ECG-R wave as the reference point and detects the aortic valve closure (AC) and mi...

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Hauptverfasser:	Khosrow-khavar, F., Tavakolian, K., Soleimani-Nouri, M., Kaminska, B., Menon, C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Algorithm design and analysis Algorithms Diastole - physiology diastolic timed vibration Digital TV Electrocardiography Electrocardiography - methods Feature extraction Heart Humans Image Processing, Computer-Assisted Middle Aged Prediction algorithms seismocardiography Time Factors Vibration Vibrations Young Adult
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creator	Khosrow-khavar, F. Tavakolian, K. Soleimani-Nouri, M. Kaminska, B. Menon, C.
description	An algorithm based on the combination of electrocardiography (ECG) and seismocardiogranphy (SCG) is used to detect the start and the end of diastole in diastolic timed vibrations (DTV). The proposed algorithm uses the ECG-R wave as the reference point and detects the aortic valve closure (AC) and mitral valve closure (MC) points of the SCG signal. This algorithm enables DTV to operate very efficiently in comparison with previous ECG based algorithm. Prediction rate of 95 and 88 percent was achieved for detection of SCG-MC and SCG-AC respectively.
doi_str_mv	10.1109/EMBC.2013.6611238
format	Conference Proceeding
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The proposed algorithm uses the ECG-R wave as the reference point and detects the aortic valve closure (AC) and mitral valve closure (MC) points of the SCG signal. This algorithm enables DTV to operate very efficiently in comparison with previous ECG based algorithm. 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Tavakolian, K. ; Soleimani-Nouri, M. ; Kaminska, B. ; Menon, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i301t-8ac838b4622a4ed92ea21dcc1e82b0c229b7efb5566fb304cbc168cbdbf1e3e23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithm design and analysis</topic><topic>Algorithms</topic><topic>Diastole - physiology</topic><topic>diastolic timed vibration</topic><topic>Digital TV</topic><topic>Electrocardiography</topic><topic>Electrocardiography - methods</topic><topic>Feature extraction</topic><topic>Heart</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Middle Aged</topic><topic>Prediction algorithms</topic><topic>seismocardiography</topic><topic>Time Factors</topic><topic>Vibration</topic><topic>Vibrations</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Khosrow-khavar, F.</creatorcontrib><creatorcontrib>Tavakolian, K.</creatorcontrib><creatorcontrib>Soleimani-Nouri, M.</creatorcontrib><creatorcontrib>Kaminska, B.</creatorcontrib><creatorcontrib>Menon, C.</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 Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khosrow-khavar, F.</au><au>Tavakolian, K.</au><au>Soleimani-Nouri, M.</au><au>Kaminska, B.</au><au>Menon, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A new seismocardiography segmentation algorithm for diastolic timed vibrations</atitle><btitle>2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)</btitle><stitle>EMBC</stitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>2013</volume><spage>7278</spage><epage>7281</epage><pages>7278-7281</pages><issn>1094-687X</issn><issn>1557-170X</issn><eissn>1558-4615</eissn><eisbn>1457702169</eisbn><eisbn>9781457702167</eisbn><abstract>An algorithm based on the combination of electrocardiography (ECG) and seismocardiogranphy (SCG) is used to detect the start and the end of diastole in diastolic timed vibrations (DTV). The proposed algorithm uses the ECG-R wave as the reference point and detects the aortic valve closure (AC) and mitral valve closure (MC) points of the SCG signal. This algorithm enables DTV to operate very efficiently in comparison with previous ECG based algorithm. Prediction rate of 95 and 88 percent was achieved for detection of SCG-MC and SCG-AC respectively.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>24111425</pmid><doi>10.1109/EMBC.2013.6611238</doi><tpages>4</tpages></addata></record>
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subjects	Adolescent Adult Aged Aged, 80 and over Algorithm design and analysis Algorithms Diastole - physiology diastolic timed vibration Digital TV Electrocardiography Electrocardiography - methods Feature extraction Heart Humans Image Processing, Computer-Assisted Middle Aged Prediction algorithms seismocardiography Time Factors Vibration Vibrations Young Adult
title	A new seismocardiography segmentation algorithm for diastolic timed vibrations
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