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{Li:2019:10.1038/s41598-019-52976-y,
author = {Li, X and Roney, C and Handa, B and Chowdhury, R and Niederer, S and Peters, N and Ng, FS},
doi = {10.1038/s41598-019-52976-y},
journal = {Scientific Reports},
title = {Standardised framework for quantitative analysisof fibrillation dynamics},
url = {http://dx.doi.org/10.1038/s41598-019-52976-y},
volume = {9},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The analysis of complex mechanisms underlying ventricular fibrillation (VF) and atrial fibrillation (AF) requires sophisticatedtools for studying spatio-temporal action potential (AP) propagation dynamics. However, fibrillation analysis tools are oftencustom-made or proprietary, and vary between research groups. With no optimal standardised framework for analysis, resultsfrom different studies have led to disparate findings. Given the technical gap, here we present a comprehensive framework andset of principles for quantifying properties of wavefront dynamics in phase-processed data recorded during myocardial fibrillationwith potentiometric dyes. Phase transformation of the fibrillatory data is particularly useful for identifying self-perpetuating spiralwaves or rotational drivers (RDs) rotating around a phase singularity (PS). RDs have been implicated in sustaining fibrillation,and thus accurate localisation and quantification of RDs is crucial for understanding specific fibrillatory mechanisms. In thiswork, we assess how variation of analysis parameters and thresholds in the tracking of PSs and quantification of RDs couldresult in different interpretations of the underlying fibrillation mechanism. These techniques have been described and appliedto experimental AF and VF data, and AF simulations, and examples are provided from each of these data sets to demonstratethe range of fibrillatory behaviours and adaptability of these tools. The presented methodologies are available as an opensource software and offer an off-the-shelf research toolkit for quantifying and analysing fibrillatory mechanisms.
AU - Li,X
AU - Roney,C
AU - Handa,B
AU - Chowdhury,R
AU - Niederer,S
AU - Peters,N
AU - Ng,FS
DO - 10.1038/s41598-019-52976-y
PY - 2019///
SN - 2045-2322
TI - Standardised framework for quantitative analysisof fibrillation dynamics
T2 - Scientific Reports
UR - http://dx.doi.org/10.1038/s41598-019-52976-y
UR - http://hdl.handle.net/10044/1/74651
VL - 9
ER -