Discrimination of ischemia and normal sinus rhythm for cardiac signals using a modified k means clustering algorithm

Maneesh Shrivastav, Paul Iaizzo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Over 15 million Americans are affected by coronary heart disease, according to the American Heart Association. Approximately 8 million have suffered a myocardial infarction. The economic and social consequences of this disease are staggering. A plethora of experimental and established therapies exist for this disease, such as stem cell therapy, growth factor injection, engineered cell transfection, etc. The use of these techniques relies on targeted therapeutic delivery. This paper describes mathematical techniques to extract key features from acquired action potential signals from ischemic and normal regions of the same heart. Using a modified means clustering technique on paired data, the best features are evaluated in multidimensional space. The results indicate promising clustering and separation of ischemic and normal beats using frequency domain computations, morphology analyses, and isoelectric point evaluations. Features were tested with data collected from a swine model of localized ischemia implanted with transmural electrodes and evaluated with a cross-validation approach. This research may have clinical significance to aid in the efficacious diagnosis or treatment of myocardial ischemia.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages3856-3859
Number of pages4
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
CountryFrance
CityLyon
Period8/23/078/26/07

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