Date Available
12-29-2016
Year of Publication
2016
Degree Name
Master of Science in Biomedical Engineering
Document Type
Master's Thesis
College
Engineering
Department/School/Program
Biomedical Engineering
First Advisor
Dr. Abhijit Patwardhan
Abstract
T-wave Alternans (TWA) in an electrocardiogram (ECG) has received considerable interest as a potential predictor of sudden cardiac death (SCD). However, large clinical trials have shown that while TWA has a very high negative predictive value, its positive predictive value is poor. Results of previous studies suggest that arrhythmia onset can be affected by the phase relationship of alternans of the depolarization and repolarization phase of the action potentials of the ventricles. To assess this relationship, one would first need to establish that depolarization alternans can be detected and then develop methods to determine its relationship with repolarization alternans, which is TWA. The objective of this thesis was to determine whether depolarization phase alternans can be detected in clinical grade ECGs. To accomplish this, an algorithm was developed to quantify R-Wave alternans (RWA) in patients who display TWA in their ECGs. Using both the morphology and amplitude of the R-wave, our results show that RWA can be seen in clinical ECGs. This suggests that RWA has the potential to help quantify occurrence and incidence of depolarization alternans, and supports further exploration of the link between depolarization and repolarization alternans which has the potential to improve clinical utility of TWA.
Digital Object Identifier (DOI)
https://doi.org/10.13023/ETD.2017.002
Recommended Citation
Wasemiller, David R., "Detection of Electrical Alternans in Ventricular Depolarization Phase of Human Electrocardiogram" (2016). Theses and Dissertations--Biomedical Engineering. 44.
https://uknowledge.uky.edu/cbme_etds/44