Patient-specific heart model towards atrial fibrillation

摘要: Atrial fibrillation is a heart rhythm disorder that affects tens of millions people worldwide. The most effective treatment catheter ablation. This involves irreversible heating abnormal cardiac tissue facilitated by electroanatomical mapping. However, it difficult to consistently identify the triggers and sources may initiate or perpetuate atrial due its chaotic behavior. We developed patient-specific computational model can accurately reproduce activation patterns help in localizing these sources. Our has high spatial resolution, with whole-atrium temporal synchronous activity, accurate electrophysiological patterns. A total 15 patients data were processed: 8 sinus rhythm, 6 flutter 1 tachycardia. For average simulation geometry voxel cube 2.47 mm length. synchrony, takes about 1,500 local electrogram recordings, optimally fits parameters individual's atrium then generates accuracy, time error 5.47 ms for 10.97 tachycardia; correlation 0.95 0.81 promising result demonstrates our an building block capturing more complex rhythms such as guide physicians ablation therapy.