Signal Parameter Estimation and Tracking During Atrial Fibrillation Using a Bayesian Time-Delay Estimator

AF is an irregular heart rhythm resulting from abnormal electrical impulses and is the most common cardiac arrhythmia encountered in clinical practice. Ablation therapy has been used to eliminate areas responsible for maintaining the arrhythmia using radiofrequency energy. Targeting the culprit regions usually require accurate estimation of activation times in IEGM recordings. The conventional time domain methods fail to present a precise activation detection method and depend on parameters set by an operator. We propose a novel frequency based method for accurate activation time detection of IEGM recordings which does not require parameter initialization by the operator. This will increase the accuracy of ablation therapy and can lead to improved treatment of AF.

Intern: 
Habib Hajimolahoseini
Faculty Supervisor: 
Damian Redfearn
Province: 
Ontario
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