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A vascular interventional surgical robot based on surgeon's operating skills

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机构: [1]Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, School of Automation, Beijing Institute of Technology, No.5, Zhongguancun South Street, Haidian District, Beijing 100081, China [2]Faculty of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa 760-8521, Japan [3]Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
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关键词: Vascular interventional surgery Robot-assisted surgery Master-slave control system "In vivo" experiment

摘要:
Interventional surgery is widely used in the treatment of cardiovascular and cerebrovascular diseases, and the development of surgical robots can greatly reduce the fatigue and radiation risks brought to surgeons during surgery. In this paper, we present a novel interventional surgical robot which allows surgeons to fully use their operating skills during remote control. Fuzzy control theory is used to guarantee control precision during the master-slave operation. The safety force feedback control is designed based on the catheter and guidewire spring model, and the force-position control is designed to decrease the potential damage due to the control delay. This study first evaluates the force-position control strategy using a vascular model experiment, and then an in vivo experiment is used to evaluate the precision of the surgical robot controlling the catheter and guidewire to the designated position. The in vivo experiment results and surgeon's feedback demonstrate that the proposed surgical robot is able to perform complex remote surgery in clinical application.

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出版当年[2018]版:
大类 | 3 区 工程技术
小类 | 3 区 计算机:跨学科应用 3 区 数学与计算生物学 4 区 工程:生物医学 4 区 医学:信息
最新[2023]版:
大类 | 4 区 医学
小类 | 2 区 数学与计算生物学 4 区 计算机:跨学科应用 4 区 工程:生物医学 4 区 医学:信息
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出版当年[2017]版:
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q3 ENGINEERING, BIOMEDICAL Q3 MEDICAL INFORMATICS
最新[2023]版:
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q3 ENGINEERING, BIOMEDICAL Q3 MEDICAL INFORMATICS

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [1]Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, School of Automation, Beijing Institute of Technology, No.5, Zhongguancun South Street, Haidian District, Beijing 100081, China
通讯作者:
通讯机构: [1]Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, School of Automation, Beijing Institute of Technology, No.5, Zhongguancun South Street, Haidian District, Beijing 100081, China [2]Faculty of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa 760-8521, Japan
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