In-vivo demonstration of irrigated lesion morphology using near-infrared spectroscopy and artificial neural networks

作者: Rajinder Singh-Moon , Christine Hendon , Vivek Iyer , Soo Young Park , Haiqiu Yang

DOI: 10.1117/12.2578483

关键词: Artificial neural networkBiomedical engineeringCatheter ablationCatheterRadiofrequency ablationAtrial fibrillationIn vivoLesionSinus rhythmMedicine

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.

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