Processing the Intracardiac Electrogram for Atrial Fibrillation Ablation


Autoria(s): Shariat, Mohammad Hassan
Contribuinte(s)

Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))

Data(s)

27/09/2016

29/09/2016

29/09/2016

29/09/2016

Resumo

Atrial fibrillation (AF) is a major global health issue as it is the most prevalent sustained supraventricular arrhythmia. Catheter-based ablation of some parts of the atria is considered an effective treatment of AF. The main objective of this research is to analyze atrial intracardiac electrograms (IEGMs) and extract insightful information for the ablation therapy. Throughout this thesis we propose several computationally efficient algorithms that take streams of IEGMs from different atrial sites as the input signals, sequentially analyze them in various domains (e.g., time and frequency), and create color-coded three-dimensional map of the atria to be used in the ablation therapy.

Thesis (Ph.D, Electrical & Computer Engineering) -- Queen's University, 2016-09-27 15:07:25.696

Identificador

http://hdl.handle.net/1974/15008

Idioma(s)

en

en

Relação

Canadian theses

Direitos

Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada

ProQuest PhD and Master's Theses International Dissemination Agreement

Intellectual Property Guidelines at Queen's University

Copying and Preserving Your Thesis

Creative Commons - Attribution - CC BY

This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.

Palavras-Chave #Catheter Ablation #Atrial Fibrillation #Arrhythmia #Sequential Mapping #Intracardiac Electrogram #Signal Processing
Tipo

Thesis