The Magnetic Continuum Robots for the Treatment of Atrial Fibrillation

IF 3.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Access Pub Date : 2025-09-03 DOI:10.1109/ACCESS.2025.3605811

Yuqing Tang

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Abstract

Atrial fibrillation (AF), the most common sustained cardiac arrhythmia, imposes a major global health burden. While antiarrhythmic drugs remain first-line therapy for rhythm control, their long-term efficacy is limited by variable response rates, adverse effects, and high recurrence rates in persistent AF. Radiofrequency catheter ablation (RFCA), primarily targeting pulmonary vein isolation (PVI), has emerged as a corner-stone intervention for AAD-refractory patients. However, conventional catheters face limitations in navigating complex anatomy and maintaining tissue contact, impacting efficacy and safety. To overcome these challenges and improve outcomes for drug-resistant AF, magnetic navigation systems (MNS) offer enhanced precision. Integrating MNS with robotic platforms and force sensing unlocks significant potential. This review examines Magnetic Continuum Robots (MCRs) with force feedback for AF ablation. We detail MNS principles, MCR design/actuation, and the role of force sensing in optimizing lesion formation—critical for durable PVI and reducing AF recurrence post-ablation. Pre-clinical and clinical data demonstrate advantages including navigation accuracy and reduced complications. MCRs show potential to address pharmacological limitations by offering a promising interventional approach for AAD-refractory AF, though further clinical validation is required.

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磁连续体机器人治疗心房颤动

房颤（AF）是最常见的持续性心律失常，造成了重大的全球健康负担。虽然抗心律失常药物仍然是控制心律的一线治疗，但其长期疗效受到持续房颤的可变反应率、不良反应和高复发率的限制。射频导管消融（RFCA），主要针对肺静脉隔离（PVI），已成为aad难治性患者的基础干预措施。然而，传统的导尿管在复杂的解剖结构和保持组织接触方面存在局限性，影响了疗效和安全性。为了克服这些挑战并改善耐药房颤的治疗结果，磁导航系统（MNS）提供了更高的精度。将MNS与机器人平台和力传感相结合，释放了巨大的潜力。本文综述了具有力反馈的磁连续体机器人（mcr）用于房颤消融的研究。我们详细介绍了MNS原理、MCR设计/驱动以及力传感在优化病变形成中的作用——这对于持久的PVI和减少消融后房颤复发至关重要。临床前和临床数据显示其优势包括导航精度和减少并发症。mcr通过为aad难治性房颤提供一种有希望的介入方法，显示出解决药理学限制的潜力，尽管需要进一步的临床验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

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