Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure
Abstract The paper proposes a phase-space based algorithm applying the Euclidian distance measure enabling detection of heartbeats and characteristic (fiducial) points from a single-lead electrocardiogram (ECG) signal. It extends the QRS detection in the phase space by detecting the P and T fiducial...
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| Veröffentlicht in: | Medical engineering & physics 2012-05, Vol.34 (4), p.524-529 |
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| creator | Plesnik, E Malgina, O Tasič, J.F Zajc, M |
| description | Abstract The paper proposes a phase-space based algorithm applying the Euclidian distance measure enabling detection of heartbeats and characteristic (fiducial) points from a single-lead electrocardiogram (ECG) signal. It extends the QRS detection in the phase space by detecting the P and T fiducial points. The algorithm is derived by reconstructing the ECG signals in a two-dimensional (2D) phase space according to the delay method and utilizes geometrical properties of the reconstructed phase portrait of the signal in the phase space for the heartbeat and fiducial-point detection. It uses adaptive thresholding and the Euclidian distance measure between the signal points in the phase portrait as an alternative to the phase-portrait area calculation (Lee et al., 2002 [1] ). It was verified with the QT Database (2011; [2] ) and its performance was assessed using sensitivity (Se) and the positive predictive value (PPV). Results for the proposed algorithm are 99.06%, 99.75% and 99.66% for Se and 94.87%, 99.75% and 99.66% for PPV for the P points, heartbeats and T points, respectively. |
| doi_str_mv | 10.1016/j.medengphy.2012.01.005 |
| format | Article |
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It extends the QRS detection in the phase space by detecting the P and T fiducial points. The algorithm is derived by reconstructing the ECG signals in a two-dimensional (2D) phase space according to the delay method and utilizes geometrical properties of the reconstructed phase portrait of the signal in the phase space for the heartbeat and fiducial-point detection. It uses adaptive thresholding and the Euclidian distance measure between the signal points in the phase portrait as an alternative to the phase-portrait area calculation (Lee et al., 2002 [1] ). It was verified with the QT Database (2011; [2] ) and its performance was assessed using sensitivity (Se) and the positive predictive value (PPV). Results for the proposed algorithm are 99.06%, 99.75% and 99.66% for Se and 94.87%, 99.75% and 99.66% for PPV for the P points, heartbeats and T points, respectively.</description><identifier>ISSN: 1350-4533</identifier><identifier>EISSN: 1873-4030</identifier><identifier>DOI: 10.1016/j.medengphy.2012.01.005</identifier><identifier>PMID: 22417977</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Algorithms ; Biological and medical sciences ; Digital signal processing ; ECG signal ; EKG ; Electrocardiography - standards ; Electrocardiography. Vectocardiography ; Electrodiagnosis. Electric activity recording ; Euclidian distance ; Fiducial Markers ; Fiducial points ; Heart ; Heart - physiology ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Phase portrait ; Phase space ; Radiology ; Signal Processing, Computer-Assisted ; Time Factors</subject><ispartof>Medical engineering & physics, 2012-05, Vol.34 (4), p.524-529</ispartof><rights>IPEM</rights><rights>2012 IPEM</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-6b79aa11025c28cf39e917b66b10a2a9f576ff7dcfabdbfb3113d4a595a68e893</citedby><cites>FETCH-LOGICAL-c489t-6b79aa11025c28cf39e917b66b10a2a9f576ff7dcfabdbfb3113d4a595a68e893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.medengphy.2012.01.005$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25810905$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22417977$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Plesnik, E</creatorcontrib><creatorcontrib>Malgina, O</creatorcontrib><creatorcontrib>Tasič, J.F</creatorcontrib><creatorcontrib>Zajc, M</creatorcontrib><title>Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure</title><title>Medical engineering & physics</title><addtitle>Med Eng Phys</addtitle><description>Abstract The paper proposes a phase-space based algorithm applying the Euclidian distance measure enabling detection of heartbeats and characteristic (fiducial) points from a single-lead electrocardiogram (ECG) signal. It extends the QRS detection in the phase space by detecting the P and T fiducial points. The algorithm is derived by reconstructing the ECG signals in a two-dimensional (2D) phase space according to the delay method and utilizes geometrical properties of the reconstructed phase portrait of the signal in the phase space for the heartbeat and fiducial-point detection. It uses adaptive thresholding and the Euclidian distance measure between the signal points in the phase portrait as an alternative to the phase-portrait area calculation (Lee et al., 2002 [1] ). It was verified with the QT Database (2011; [2] ) and its performance was assessed using sensitivity (Se) and the positive predictive value (PPV). Results for the proposed algorithm are 99.06%, 99.75% and 99.66% for Se and 94.87%, 99.75% and 99.66% for PPV for the P points, heartbeats and T points, respectively.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Digital signal processing</subject><subject>ECG signal</subject><subject>EKG</subject><subject>Electrocardiography - standards</subject><subject>Electrocardiography. Vectocardiography</subject><subject>Electrodiagnosis. Electric activity recording</subject><subject>Euclidian distance</subject><subject>Fiducial Markers</subject><subject>Fiducial points</subject><subject>Heart</subject><subject>Heart - physiology</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Phase portrait</subject><subject>Phase space</subject><subject>Radiology</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Time Factors</subject><issn>1350-4533</issn><issn>1873-4030</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkk-P1SAUxRujccbRr6DdmLhphVIKbEwm499kEhfqmtzC5T1qH63QmrxvL533HBNXswLC7xzIObcoXlFSU0K7t0N9QIthN--PdUNoUxNaE8IfFZdUCla1hJHHec84qVrO2EXxLKWBENK2HXtaXDRNS4US4rIY3uOCZvFTKCdXLnssccznOBmI1k-7CIfSebsaD2M5Tz4sqfThDpz3kLBMMxgs1-TD7iRfzeith1BanxYI-fKAkNaIz4snDsaEL87rVfHj44fvN5-r26-fvtxc31amlWqpul4oAEpJw00jjWMKFRV91_WUQAPKcdE5J6xx0Nve9YxSZlvgikMnUSp2Vbw5-c5x-rViWvTBJ4PjCAGnNekcYJvdmZQPQAlVXAq-uYoTauKUUkSn5-gPEI8Z2iw7Pej7TvTWiSZU506y8uX5kbXPxL3ubwkZeH0GIBkYXcyp-fSP45ISdWd0feIwp_fbY9TJeMwJWx9zZ9pO_gGfefefR64r-PzsTzxiGqY1hlyOpjpljf62jdA2QbTJ00Nkw_4AxFvEgQ</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Plesnik, E</creator><creator>Malgina, O</creator><creator>Tasič, J.F</creator><creator>Zajc, M</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20120501</creationdate><title>Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure</title><author>Plesnik, E ; Malgina, O ; Tasič, J.F ; Zajc, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-6b79aa11025c28cf39e917b66b10a2a9f576ff7dcfabdbfb3113d4a595a68e893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Digital signal processing</topic><topic>ECG signal</topic><topic>EKG</topic><topic>Electrocardiography - standards</topic><topic>Electrocardiography. Vectocardiography</topic><topic>Electrodiagnosis. Electric activity recording</topic><topic>Euclidian distance</topic><topic>Fiducial Markers</topic><topic>Fiducial points</topic><topic>Heart</topic><topic>Heart - physiology</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Medical sciences</topic><topic>Phase portrait</topic><topic>Phase space</topic><topic>Radiology</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Plesnik, E</creatorcontrib><creatorcontrib>Malgina, O</creatorcontrib><creatorcontrib>Tasič, J.F</creatorcontrib><creatorcontrib>Zajc, M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Medical engineering & physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Plesnik, E</au><au>Malgina, O</au><au>Tasič, J.F</au><au>Zajc, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure</atitle><jtitle>Medical engineering & physics</jtitle><addtitle>Med Eng Phys</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>34</volume><issue>4</issue><spage>524</spage><epage>529</epage><pages>524-529</pages><issn>1350-4533</issn><eissn>1873-4030</eissn><abstract>Abstract The paper proposes a phase-space based algorithm applying the Euclidian distance measure enabling detection of heartbeats and characteristic (fiducial) points from a single-lead electrocardiogram (ECG) signal. It extends the QRS detection in the phase space by detecting the P and T fiducial points. The algorithm is derived by reconstructing the ECG signals in a two-dimensional (2D) phase space according to the delay method and utilizes geometrical properties of the reconstructed phase portrait of the signal in the phase space for the heartbeat and fiducial-point detection. It uses adaptive thresholding and the Euclidian distance measure between the signal points in the phase portrait as an alternative to the phase-portrait area calculation (Lee et al., 2002 [1] ). It was verified with the QT Database (2011; [2] ) and its performance was assessed using sensitivity (Se) and the positive predictive value (PPV). 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| subjects | Algorithms Biological and medical sciences Digital signal processing ECG signal EKG Electrocardiography - standards Electrocardiography. Vectocardiography Electrodiagnosis. Electric activity recording Euclidian distance Fiducial Markers Fiducial points Heart Heart - physiology Investigative techniques, diagnostic techniques (general aspects) Medical sciences Phase portrait Phase space Radiology Signal Processing, Computer-Assisted Time Factors |
| title | Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure |
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