Sensor-Based Measurement Method to Support the Assessment of Robot-Assisted Radiofrequency Ablation

Author:

Marton Hilda Zsanett12ORCID,Inczeffy Pálma Emese3,Kis Zsuzsanna1,Kardos Attila1,Haidegger Tamás45ORCID

Affiliation:

1. Gottsegen National Cardiovascular Center, 1096 Budapest, Hungary

2. Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary

3. Faculty of Mechanical Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary

4. Austrian Center for Medical Innovation and Technology (ACMIT), 2700 Wiener Neustadt, Austria

5. University Research and Innovation Center (EKIK), Óbuda University, 1034 Budapest, Hungary

Abstract

Digital surgery technologies, such as interventional robotics and sensor systems, not only improve patient care but also aid in the development and optimization of traditional invasive treatments and methods. Atrial Fibrillation (AF) is the most common cardiac arrhythmia with critical clinical relevance today. Delayed intervention can lead to heart failure, stroke, or sudden cardiac death. Although many advances have been made in the field of radiofrequency (RF) catheter ablation (CA), it can be further developed by incorporating sensor technology to improve its efficacy and safety. Automation can be utilized to shorten the duration of RF ablation, provided that the interactions between the tissue and the RF tools are well understood and adequately modeled. Further research is needed to develop the optimal catheter design. This paper describes the systematic methodology developed to support robot-assisted RF CA characterization measurements. The article describes the custom instruments developed for the experiments, particularly the contact force limiter, the measurement procedure, and the evaluation of the results, as enablers for new results. The aim was to establish an objective, repeatable, robust measurement method and adjacent procedure.

Funder

National Research, Development and Innovation Fund of Hungary

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3