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An algorithm for the quantification of ST-T segment variability

dc.contributor.authorGreenhut, Saul E.en_US
dc.contributor.authorChadi, Benjamin H.en_US
dc.contributor.authorLee, Jong W.en_US
dc.contributor.authorJenkins, Janice M.en_US
dc.contributor.authorNicklas, John M.en_US
dc.date.accessioned2006-04-07T20:44:45Z
dc.date.available2006-04-07T20:44:45Z
dc.date.issued1989-08en_US
dc.identifier.citationGreenhut, Saul E., Chadi, Benjamin H., Lee, Jong W., Jenkins, Janice M., Nicklas, John M. (1989/08)."An algorithm for the quantification of ST-T segment variability." Computers and Biomedical Research 22(4): 339-348. <http://hdl.handle.net/2027.42/27829>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WCY-49TJW0G-RY/2/c2cae502a1729edacd6f96757db60167en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27829
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2776439&dopt=citationen_US
dc.description.abstractA template boundary algorithm which quantitatively determines repolarization (ST-T segment) variability in a normal population has been developed. The algorithm defines an initial ST-T template for comparison with successive beats. Variability is quantified using boundary limits around the template which are widened, when necessary, to included incoming ST-T segments. The boundaries at the end of each hour are stored and the collection of boundaries over a set of normal subjects quantifies the normal variation over the entire ST-T segment. The algorithm can be used to determine prospectively normal ST-T variability based on a regression analysis of R-wave or T-wave amplitude, and QT interval. Application of these boundary predictions should be useful in distinguishing repolarization changes secondary to ischemia from normal variability.en_US
dc.format.extent645856 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleAn algorithm for the quantification of ST-T segment variabilityen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelWest European Studiesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Internal Medicine, Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.en_US
dc.contributor.affiliationumDepartment of Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Internal Medicine, Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.en_US
dc.contributor.affiliationumDepartment of Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Internal Medicine, Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.en_US
dc.contributor.affiliationumDepartment of Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Internal Medicine, Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.en_US
dc.contributor.affiliationumDepartment of Internal Medicine, Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Electrical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.identifier.pmid2776439en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27829/1/0000235.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0010-4809(89)90029-3en_US
dc.identifier.sourceComputers and Biomedical Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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