Analytical approaches for myocardial fibrillation signals

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 analytic...

Full description

Saved in:
Bibliographic Details
Published in:Computers in biology and medicine 2018-11, Vol.102, p.315-326
Main Authors: Handa, Balvinder S., Roney, Caroline H., Houston, Charles, Qureshi, Norman A., Li, Xinyang, Pitcher, David S., Chowdhury, Rasheda A., Lim, Phang Boon, Dupont, Emmanuel, Niederer, Steven A., Cantwell, Chris D., Peters, Nicholas S., Ng, Fu Siong
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Animals
Atrial fibrillation
Atrial Fibrillation - diagnostic imaging
Cardiac arrhythmia
Cell Line
Complex fractionated electrograms
Data processing
Dominant frequency
Electrocardiography
Electrophysiologic Techniques, Cardiac - methods
Entropy
Entropy (Information theory)
Fibrillation
Heart - diagnostic imaging
Heart Atria - physiopathology
Heart Conduction System - physiopathology
Humans
Hypotheses
Laboratories
Mapping
Mathematical analysis
Microscopy
Myocardium - pathology
Organizational index
Phase analysis
Rotors
Shannon entropy
Signal Processing, Computer-Assisted
Substrates
Ventricle
Ventricular fibrillation
Ventricular Fibrillation - diagnostic imaging
Voltage mapping
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. •Mechanism of atrial and ventricular fibrillation remains poorly understood.•Rotational drivers of fibrillation can be mapped using phase analysis.•Voltage mapping can identify fibrotic substrate of fibrillation.•Conduction delay algorithm identifies lines of conduction block at reentry core.•Substrate and driver mapping is limited by resolution of clinical data sets.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2018.07.008