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Minimal T‐wave representation and its use in the assessment of drug arrhythmogenicity
Background Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug‐induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics...
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Published in: | Annals of noninvasive electrocardiology 2017-05, Vol.22 (3), p.e12413-n/a |
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creator | Shakibfar, Saeed Graff, Claus Kanters, Jørgen K. Nielsen, Jimmi Schmidt, Samuel Struijk, Johannes J. |
description | Background
Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug‐induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics of the T wave, such as duration, area, amplitude, and slopes.
Methods
In the present work the T wave was down‐sampled to a minimal rate, such that a good reconstruction was still possible. The entire T wave was then used as a feature vector to assess drug‐induced repolarization effects. The ability of the samples or combinations of samples obtained from the minimal T‐wave representation to correctly classify a group of subjects before and after receiving d,l‐sotalol 160 mg and 320 mg was evaluated using a linear discriminant analysis (LDA).
Results
The results showed that a combination of eight samples from the minimal T‐wave representation can be used to identify normal from abnormal repolarization significantly better compared to the heart rate‐corrected QT interval (QTc). It was further indicated that the interval from the peak of the T wave to the end of the T wave (Tpe) becomes relatively shorter after IKr inhibition by d,l‐sotalol and that the most pronounced repolarization changes were present in the ascending segment of the minimal T‐wave representation.
Conclusions
The minimal T‐wave representation can potentially be used as a new tool to identify normal from abnormal repolarization in drug safety studies. |
doi_str_mv | 10.1111/anec.12413 |
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Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug‐induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics of the T wave, such as duration, area, amplitude, and slopes.
Methods
In the present work the T wave was down‐sampled to a minimal rate, such that a good reconstruction was still possible. The entire T wave was then used as a feature vector to assess drug‐induced repolarization effects. The ability of the samples or combinations of samples obtained from the minimal T‐wave representation to correctly classify a group of subjects before and after receiving d,l‐sotalol 160 mg and 320 mg was evaluated using a linear discriminant analysis (LDA).
Results
The results showed that a combination of eight samples from the minimal T‐wave representation can be used to identify normal from abnormal repolarization significantly better compared to the heart rate‐corrected QT interval (QTc). It was further indicated that the interval from the peak of the T wave to the end of the T wave (Tpe) becomes relatively shorter after IKr inhibition by d,l‐sotalol and that the most pronounced repolarization changes were present in the ascending segment of the minimal T‐wave representation.
Conclusions
The minimal T‐wave representation can potentially be used as a new tool to identify normal from abnormal repolarization in drug safety studies.</description><identifier>ISSN: 1082-720X</identifier><identifier>EISSN: 1542-474X</identifier><identifier>DOI: 10.1111/anec.12413</identifier><identifier>PMID: 27785856</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Abnormalities ; Adolescent ; Adult ; Algorithms ; Anti-Arrhythmia Agents - pharmacology ; Biomarkers ; Cardiac arrhythmia ; Discriminant analysis ; electrocardiogram ; Electrocardiography ; Electrocardiography - drug effects ; Electrocardiography - statistics & numerical data ; Feature extraction ; Heart - drug effects ; Heart rate ; Humans ; Male ; Middle Aged ; Original ; Pharmacovigilance ; QT interval ; Reference Values ; repolarization ; Sotalol - pharmacology ; T wave ; Tpeak‐Tend ; Young Adult</subject><ispartof>Annals of noninvasive electrocardiology, 2017-05, Vol.22 (3), p.e12413-n/a</ispartof><rights>2016 Wiley Periodicals, Inc.</rights><rights>2017 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4483-9e9196fd9d2c58cf64cbaa9b5b6effb5701b158371db5d00879fd92ba02897883</citedby><cites>FETCH-LOGICAL-c4483-9e9196fd9d2c58cf64cbaa9b5b6effb5701b158371db5d00879fd92ba02897883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931598/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931598/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27785856$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shakibfar, Saeed</creatorcontrib><creatorcontrib>Graff, Claus</creatorcontrib><creatorcontrib>Kanters, Jørgen K.</creatorcontrib><creatorcontrib>Nielsen, Jimmi</creatorcontrib><creatorcontrib>Schmidt, Samuel</creatorcontrib><creatorcontrib>Struijk, Johannes J.</creatorcontrib><title>Minimal T‐wave representation and its use in the assessment of drug arrhythmogenicity</title><title>Annals of noninvasive electrocardiology</title><addtitle>Ann Noninvasive Electrocardiol</addtitle><description>Background
Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug‐induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics of the T wave, such as duration, area, amplitude, and slopes.
Methods
In the present work the T wave was down‐sampled to a minimal rate, such that a good reconstruction was still possible. The entire T wave was then used as a feature vector to assess drug‐induced repolarization effects. The ability of the samples or combinations of samples obtained from the minimal T‐wave representation to correctly classify a group of subjects before and after receiving d,l‐sotalol 160 mg and 320 mg was evaluated using a linear discriminant analysis (LDA).
Results
The results showed that a combination of eight samples from the minimal T‐wave representation can be used to identify normal from abnormal repolarization significantly better compared to the heart rate‐corrected QT interval (QTc). It was further indicated that the interval from the peak of the T wave to the end of the T wave (Tpe) becomes relatively shorter after IKr inhibition by d,l‐sotalol and that the most pronounced repolarization changes were present in the ascending segment of the minimal T‐wave representation.
Conclusions
The minimal T‐wave representation can potentially be used as a new tool to identify normal from abnormal repolarization in drug safety studies.</description><subject>Abnormalities</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Anti-Arrhythmia Agents - pharmacology</subject><subject>Biomarkers</subject><subject>Cardiac arrhythmia</subject><subject>Discriminant analysis</subject><subject>electrocardiogram</subject><subject>Electrocardiography</subject><subject>Electrocardiography - drug effects</subject><subject>Electrocardiography - statistics & numerical data</subject><subject>Feature extraction</subject><subject>Heart - drug effects</subject><subject>Heart rate</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Pharmacovigilance</subject><subject>QT interval</subject><subject>Reference Values</subject><subject>repolarization</subject><subject>Sotalol - pharmacology</subject><subject>T wave</subject><subject>Tpeak‐Tend</subject><subject>Young Adult</subject><issn>1082-720X</issn><issn>1542-474X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kU9PwyAchonRuDm9-AEMiTeTKtBS4GJiFv8lUy8adyO0pStmoxNaTW9-BD-jn0RmddGLXCDhycPL7wVgH6NjHNaJsjo_xiTB8QYYYpqQKGHJdDOcEScRI2g6ADvePyFESELYNhgQxjjlNB2CxxtjzULN4f3H2_uretHQ6aXTXttGNaa2UNkCmsbD1mtoLGwqDZX32vtFQGBdwsK1M6icq7qmWtQzbU1umm4XbJVq7vXe9z4CDxfn9-OraHJ3eT0-m0R5kvA4ElpgkZaFKEhOeV6mSZ4pJTKapbosM8oQzjDlMcNFRguEOBMBJplChAvGeTwCp7132WYLXeQhlFNzuXThU66TtTLy7401lZzVLzIVMaZiJTj8Frj6udW-kU9162zILDEXYUgsxnGgjnoqd7X3TpfrFzCSqxLkqgT5VUKAD35nWqM_Uw8A7oFXM9fdPyp5dns-7qWfnEWVFg</recordid><startdate>201705</startdate><enddate>201705</enddate><creator>Shakibfar, Saeed</creator><creator>Graff, Claus</creator><creator>Kanters, Jørgen K.</creator><creator>Nielsen, Jimmi</creator><creator>Schmidt, Samuel</creator><creator>Struijk, Johannes J.</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>201705</creationdate><title>Minimal T‐wave representation and its use in the assessment of drug arrhythmogenicity</title><author>Shakibfar, Saeed ; Graff, Claus ; Kanters, Jørgen K. ; Nielsen, Jimmi ; Schmidt, Samuel ; Struijk, Johannes J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4483-9e9196fd9d2c58cf64cbaa9b5b6effb5701b158371db5d00879fd92ba02897883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Abnormalities</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Anti-Arrhythmia Agents - pharmacology</topic><topic>Biomarkers</topic><topic>Cardiac arrhythmia</topic><topic>Discriminant analysis</topic><topic>electrocardiogram</topic><topic>Electrocardiography</topic><topic>Electrocardiography - drug effects</topic><topic>Electrocardiography - statistics & numerical data</topic><topic>Feature extraction</topic><topic>Heart - drug effects</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Pharmacovigilance</topic><topic>QT interval</topic><topic>Reference Values</topic><topic>repolarization</topic><topic>Sotalol - pharmacology</topic><topic>T wave</topic><topic>Tpeak‐Tend</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shakibfar, Saeed</creatorcontrib><creatorcontrib>Graff, Claus</creatorcontrib><creatorcontrib>Kanters, Jørgen K.</creatorcontrib><creatorcontrib>Nielsen, Jimmi</creatorcontrib><creatorcontrib>Schmidt, Samuel</creatorcontrib><creatorcontrib>Struijk, Johannes J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of noninvasive electrocardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shakibfar, Saeed</au><au>Graff, Claus</au><au>Kanters, Jørgen K.</au><au>Nielsen, Jimmi</au><au>Schmidt, Samuel</au><au>Struijk, Johannes J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimal T‐wave representation and its use in the assessment of drug arrhythmogenicity</atitle><jtitle>Annals of noninvasive electrocardiology</jtitle><addtitle>Ann Noninvasive Electrocardiol</addtitle><date>2017-05</date><risdate>2017</risdate><volume>22</volume><issue>3</issue><spage>e12413</spage><epage>n/a</epage><pages>e12413-n/a</pages><issn>1082-720X</issn><eissn>1542-474X</eissn><abstract>Background
Recently, numerous models and techniques have been developed for analyzing and extracting features from the T wave which could be used as biomarkers for drug‐induced abnormalities. The majority of these techniques and algorithms use features that determine readily apparent characteristics of the T wave, such as duration, area, amplitude, and slopes.
Methods
In the present work the T wave was down‐sampled to a minimal rate, such that a good reconstruction was still possible. The entire T wave was then used as a feature vector to assess drug‐induced repolarization effects. The ability of the samples or combinations of samples obtained from the minimal T‐wave representation to correctly classify a group of subjects before and after receiving d,l‐sotalol 160 mg and 320 mg was evaluated using a linear discriminant analysis (LDA).
Results
The results showed that a combination of eight samples from the minimal T‐wave representation can be used to identify normal from abnormal repolarization significantly better compared to the heart rate‐corrected QT interval (QTc). It was further indicated that the interval from the peak of the T wave to the end of the T wave (Tpe) becomes relatively shorter after IKr inhibition by d,l‐sotalol and that the most pronounced repolarization changes were present in the ascending segment of the minimal T‐wave representation.
Conclusions
The minimal T‐wave representation can potentially be used as a new tool to identify normal from abnormal repolarization in drug safety studies.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>27785856</pmid><doi>10.1111/anec.12413</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abnormalities Adolescent Adult Algorithms Anti-Arrhythmia Agents - pharmacology Biomarkers Cardiac arrhythmia Discriminant analysis electrocardiogram Electrocardiography Electrocardiography - drug effects Electrocardiography - statistics & numerical data Feature extraction Heart - drug effects Heart rate Humans Male Middle Aged Original Pharmacovigilance QT interval Reference Values repolarization Sotalol - pharmacology T wave Tpeak‐Tend Young Adult |
title | Minimal T‐wave representation and its use in the assessment of drug arrhythmogenicity |
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