Predicting Spiral Wave Stability by Personalized Electrophysiology models

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Abstract

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.
Original languageEnglish
Title of host publicationComputing In Cardiology 2016
EditorsAlan Murray
PublisherIEEE
Pages229-232
Number of pages4
Volume43
ISBN (Electronic)978-1-5090-0895-7
ISBN (Print)978-1-5090-0896-4
Publication statusPublished - 2016

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