Analytical approaches for myocardial fibrillation signals

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Title: Analytical approaches for myocardial fibrillation signals
Authors: Handa, BS
Roney, CH
Houston, C
Qureshi, N
Li, X
Pitcher, DS
Chowdhury, RA
Lim, PB
Dupont, E
Niederer, S
Cantwell, C
Peters, NS
Ng, FS
Item Type: Journal Article
Abstract: Atrial and ventricular fibrillation are complex arrhythmias, and their underlying mechanisms remain widely debated and incompletely understood. This is partly because the electrical signals recorded during myocardial fibrillation are themselves complex and difficult to interpret with simple analytical tools. There are currently a number of analytical approaches to handle fibrillation data. Some of these techniques focus on mapping putative drivers of myocardial fibrillation, such as dominant frequency, organizational index, Shannon entropy and phase mapping. Other techniques focus on mapping the underlying myocardial substrate sustaining fibrillation, such as voltage mapping and complex fractionated electrogram mapping. In this review, we discuss these techniques, their application and their limitations, with reference to our experimental and clinical data. We also describe novel tools including a new algorithm to map microreentrant circuits sustaining fibrillation.
Issue Date: 17-Jul-2018
Date of Acceptance: 11-Jul-2018
URI: http://hdl.handle.net/10044/1/62278
DOI: https://dx.doi.org/10.1016/j.compbiomed.2018.07.008
ISSN: 0010-4825
Publisher: Elsevier
Journal / Book Title: Computers in Biology and Medicine
Copyright Statement: © The Author(s). This is an open access article licensed under the terms of the Creative Commons Attribution 4.0 International licence (https://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: British Heart Foundation
British Heart Foundation
British Heart Foundation
British Heart Foundation
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: PG/15/59/31621
PG/16/17/32069
PG/16/17/32069
RG/16/3/32175
RDB02
Keywords: Analysis
Atrial fibrillation
Complex fractionated electrograms
Dominant frequency
Organizational index
Phase analysis
Rotors
Shannon entropy
Ventricular fibrillation
Voltage mapping
Atrial fibrillation
Ventricular fibrillation
Analysis
Voltage mapping
Rotors
Phase analysis
Shannon entropy
Dominant frequency
Organizational index
Complex fractionated electrograms
08 Information And Computing Sciences
11 Medical And Health Sciences
17 Psychology And Cognitive Sciences
Biomedical Engineering
Publication Status: Published online
Conference Place: United Kingdom
Online Publication Date: 2018-07-17
Appears in Collections:National Heart and Lung Institute
Aeronautics
Faculty of Medicine



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