An algorithm for the quantification of ST-T segment variability
dc.contributor.author | Greenhut, Saul E. | en_US |
dc.contributor.author | Chadi, Benjamin H. | en_US |
dc.contributor.author | Lee, Jong W. | en_US |
dc.contributor.author | Jenkins, Janice M. | en_US |
dc.contributor.author | Nicklas, John M. | en_US |
dc.date.accessioned | 2006-04-07T20:44:45Z | |
dc.date.available | 2006-04-07T20:44:45Z | |
dc.date.issued | 1989-08 | en_US |
dc.identifier.citation | Greenhut, 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.uri | http://www.sciencedirect.com/science/article/B6WCY-49TJW0G-RY/2/c2cae502a1729edacd6f96757db60167 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27829 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2776439&dopt=citation | en_US |
dc.description.abstract | A 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.extent | 645856 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | An algorithm for the quantification of ST-T segment variability | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | West European Studies | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department 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.affiliationum | Department 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.affiliationum | Department 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.affiliationum | Department 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.affiliationum | Department 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, USA | en_US |
dc.identifier.pmid | 2776439 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27829/1/0000235.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0010-4809(89)90029-3 | en_US |
dc.identifier.source | Computers and Biomedical Research | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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