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 language | English |
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Title of host publication | Computing In Cardiology 2016 |
Editors | Alan Murray |
Publisher | IEEE |
Pages | 229-232 |
Number of pages | 4 |
Volume | 43 |
ISBN (Electronic) | 978-1-5090-0895-7 |
ISBN (Print) | 978-1-5090-0896-4 |
Publication status | Published - 2016 |