King's College London

Research portal

Predicting Spiral Wave Stability by Personalized Electrophysiology models

Research output: Chapter in Book/Report/Conference proceedingConference paper

Original languageEnglish
Title of host publicationComputing In Cardiology 2016
EditorsAlan Murray
Number of pages4
ISBN (Electronic)978-1-5090-0895-7
ISBN (Print)978-1-5090-0896-4
Publication statusPublished - 2016

King's Authors


Identifying the atrial tissue that is capable of supporting sustained re-entrant spiral wave activation patterns offers a potential ablation target for atrial arrhythmias. Current strategies for identifying this substrate require the patient to be in atrial fibrillation and require a large specialised catheter or an inverse ECG vest. We propose a novel method to personalised biophysical ionic models from standard multi-electrode catheter measurements and to predict spiral wave stability using computer simulations of a tissue region. The developed method was applied to 5 clinical cases; the spiral wave stability was analysed on a 5X5 cm 2 homogeneous tissue slab and stable (2/5) and unstable self-terminating (3/5) rotors were identified.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454