一种改变磁控胶囊内窥镜运动状态的旋转驱动策略

IF 5.3 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2025-02-13 DOI:10.1109/LRA.2025.3541451
Zhifan Teng;Jixiong Ren;Hongbo Sun;Quanyue Liu;Jianhua Liu;Qiuliang Wang
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引用次数: 0

摘要

磁控胶囊内窥镜(MCCE)是一种有效的消化道检查工具,因为它是由外部磁场控制来实现主动运动的。现有的旋转驱动策略主要集中在固定驱动角的研究上,缺乏对驱动角范围对运动控制影响的分析。本文提出一种基于旋转磁场的驱动策略,分析MCCE在肠道内实现有效驱动和均匀推进的驱动角度的临界范围。仿真和实验结果表明,在最大驱动角下,MCCE可以从静止状态加速到最大速度。在硅胶肠和离体猪肠的实验中,它们的最大运动速度分别达到36.5 mm/s和21.4 mm/s。此外,基于自适应驱动系统验证了该驱动策略的有效性。未来,我们的驱动策略和自适应系统可以与图像或超声自动诊断相结合,有望为医生提供更好的消化检查工具。
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A Rotary Actuation Strategy for Altering Magnetically Controlled Capsule Endoscope Motion State
The magnetically controlled capsule endoscope (MCCE) is an effective tool for the examination of the digestive tract, as it is controlled by an external magnetic field to achieve active movement. Existing rotational actuation strategies are primarily focused on the study of fixed actuation angles, with a lack of analysis of the impact of the range of actuation angles in motion control. This letter proposes an actuation strategy based on a rotating magnetic field to analyze the critical range of the actuation angle for the MCCE to achieve effective actuation and uniform advancement in the intestine. Simulation and experimental results show that the MCCE can be accelerated from a stationary state to a maximum speed at the maximum actuation angle. In experiments in silicone intestines and isolated porcine intestines, their maximum movement speeds reached 36.5 mm/s and 21.4 mm/s, respectively. In addition, the effectiveness of the actuation strategy was verified based on an adaptive actuation system. In the future, our actuation strategy and adaptive system can be combined with image or ultrasound automated diagnostics, which is expected to provide physicians with better tools for digestive examinations.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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