作者: Rajinder Singh-Moon , Christine Hendon , Vivek Iyer , Soo Young Park , Haiqiu Yang
DOI: 10.1117/12.2578483
关键词: Artificial neural network 、 Biomedical engineering 、 Catheter ablation 、 Catheter 、 Radiofrequency ablation 、 Atrial fibrillation 、 In vivo 、 Lesion 、 Sinus rhythm 、 Medicine
摘要: Radiofrequency ablation is the most common procedure to treat cardiac arrythmias, such as atrial fibrillation. Catheter isolates or eradicates abnormal electrical activity maintain sinus rhythm. However, inadequate lesion formation permits arrhythmia resurgence. Optical spectroscopic signatures can detect biomolecular and tissue structural changes potentially serve a tool evaluate quality. In this work, we introduce near-infrared spectroscopy through fiber-optic integrated catheter assess contact predict size using artificial neural network model on both ex-vivo porcine non-survival in-vivo pilot experiments in pigs.