Imperial College London

Dr Fu Siong Ng

Faculty of MedicineNational Heart & Lung Institute

Clinical Senior Lecturer in Cardiac Electrophysiology
 
 
 
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Contact

 

+44 (0)20 7594 3614f.ng Website

 
 
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Location

 

ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Handa:2018:10.1016/j.compbiomed.2018.07.008,
author = {Handa, BS and Roney, CH and Houston, C and Qureshi, N and Li, X and Pitcher, DS and Chowdhury, RA and Lim, PB and Dupont, E and Niederer, S and Cantwell, C and Peters, NS and Ng, FS},
doi = {10.1016/j.compbiomed.2018.07.008},
journal = {Computers in Biology and Medicine},
pages = {315--326},
title = {Analytical approaches for myocardial fibrillation signals},
url = {http://dx.doi.org/10.1016/j.compbiomed.2018.07.008},
volume = {102},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Handa,BS
AU - Roney,CH
AU - Houston,C
AU - Qureshi,N
AU - Li,X
AU - Pitcher,DS
AU - Chowdhury,RA
AU - Lim,PB
AU - Dupont,E
AU - Niederer,S
AU - Cantwell,C
AU - Peters,NS
AU - Ng,FS
DO - 10.1016/j.compbiomed.2018.07.008
EP - 326
PY - 2018///
SN - 0010-4825
SP - 315
TI - Analytical approaches for myocardial fibrillation signals
T2 - Computers in Biology and Medicine
UR - http://dx.doi.org/10.1016/j.compbiomed.2018.07.008
UR - https://www.imperial.ac.uk/people/balvinder.handa05
UR - https://www.sciencedirect.com/science/article/pii/S0010482518301999?via%3Dihub
UR - http://hdl.handle.net/10044/1/62278
VL - 102
ER -