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2014 SRE Project

Statistical Techniques for Predicting Cardiac Rhythm Disorder

Dr. Xiaopeng Zhao
Dr. Heather Finotti

photo. Cardiac alternans, a beat-to-beat alternation in action potential duration, is a marker of ventricular fibrillation, a fatal heart rhythm that kills hundreds of thousands of people in the United States each year. Mathematically, the propensity of alternans is characterized by an eigenvalue approaching -1. In this project, we will explore and develop data-driven statistical techniques, which are independent of any underlying dynamical model to estimate the dominant eigenvalues and their standard errors from the time series of one or a few measurable quantities, e.g. transmembrane voltages in cardiac experiments.

Student participants, from left: Vernoica Go, Biochemistry/Statistics, UT-Knoxville; John Shamshoian, Mathematics, California Polytechnic State University; Megan Comer, Chemistry Teacher, Campbell County High School; Rebecca McDowell, Mathematics Teacher, West High School


Abstract of project report (PDF)

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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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