Atrial activation time estimation using cross-correlation between higher order neighboring electrodes

Atrial activation time estimation using cross-correlation between higher order neighboring electrodes: In epicardial electrograms

Kölling, Bart (TU Delft Electrical Engineering, Mathematics and Computer Science)

Hendriks, Richard (mentor)
Abdikivanani, Bahareh (graduation committee)

Delft University of Technology

Electrical Engineering | Circuits and Systems

2019-10-28

A common cardiac arrhythmia is atrial fibrillation, which is becoming more widespread worldwide. Currently there is some understanding about the mechanisms behind atrial fibrillation, however more insight into the conduction of the atrial tissue is desired. Therefore, invasive mapping studies have been performed where an array of electrodes is used to record the electrical activity on the heart’s surface during open-chest surgery. The moment in time when the tissue under an electrode depolarizes, called the local activation time can be used to reconstruct the propagation pattern of the signal that triggers the tissue to contract. In this thesis, the application of the cross-correlation for estimation of the local activation time of the atria is investigated. Specifically, the benefits of not only cross-correlating electrode pairs that are close, but also pairs that are far away are evaluated. A framework is constructed, based on a graph, that defines these higher order neighboring pairs of electrodes. This is compared to the golden standard of using the steepest deflection of an electrogram, as well as to other methods using the cross-correlation. Experiments are done on simulated electrograms where the true activation times are available, as well as on natural data recorded from patients. Finally some future research is proposed to investigate for which morphologies the proposed cross-correlation based methods may be most effective.

Atrial Fibrillation
Cross-correlation
Epicardial Mapping
Local Activation TIme
Higher order neighbor
Electrograms

http://resolver.tudelft.nl/uuid:2a460639-d762-40c4-bb21-cf4cbffe0a6b

Student theses

master thesis

© 2019 Bart Kölling