基于OptiTrack运动捕捉系统和机械臂的针灸机器人研究。

H E Ling, Yang Hui, L I Kang, Wang Junwen, Sun Zhibo, Yang Jinsheng, Zhang Jing
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引用次数: 0

摘要

目的:提出一种用于针灸手术的自动针灸机器人系统。方法:针灸机器人系统由穴位自动定位、针灸手法、德气感觉检测三部分组成。OptiTrack运动捕捉系统用于定位穴位,然后将其转换为机器人控制系统中的坐标。然后使用具有智能抓手的柔性协作机器人进行高精度的针灸操作。此外,提出了一种德气感觉检测系统来评估针灸的效果。为了验证设计的针灸机器人的稳定性,将针灸机器人定位的穴位坐标与专业针灸师标记的金标准进行显著性水平检验。结果:通过对8个穴位的反复实验,针灸机器人的定位误差在3.3 mm以内,在拔针插穴的允许范围内。在插针过程中,机械臂沿规定轨迹运动,平均偏离距离为0.02 mm,偏离角度小于0.15°。在兴镇工艺中进行提刺手术的结果表明,所设计的针灸机器人的平均针灸深度误差约为2mm,在兴镇手术的推荐深度范围内。此外,德气关键词的平均检测准确率为94.52%,满足不同方言针灸效果检测的要求。结论:提出的针灸机器人系统简化了针灸过程,提高了效率,减少了从业者的疲劳,同时也允许针灸手法的量化和治疗效果的评估。针灸机器人系统的开发有可能彻底改变腰痛的治疗方法,改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on acupuncture robots based on the OptiTrack motion capture system and a robotic arm.

Objective: To propose an automatic acupuncture robot system for performing acupuncture operations.

Methods: The acupuncture robot system consists of three components: automatic acupoint localization, acupuncture manipulations, and De Qi sensation detection. The OptiTrack motion capture system is used to locate acupoints, which are then translated into coordinates in the robot control system. A flexible collaborative robot with an intelligent gripper is then used to perform acupuncture manipulations with high precision. In addition, a De Qi sensation detection system is proposed to evaluate the effect of acupuncture. To verify the stability of the designed acupuncture robot, acupoints' coordinates localized by the acupuncture robot are compared with the Gold Standard labeled by a professional acupuncturist using significant level tests.

Results: Through repeated experiments for eight acupoints, the acupuncture robot achieved a positioning error within 3.3 mm, which is within the allowable range of needle extraction and acupoint insertion. During needle insertion, the robot arm followed the prescribed trajectory with a mean deviation distance of 0.02 mm and a deviation angle of less than 0.15°. The results of the lifting thrusting operation in the Xingzhen process show that the mean acupuncture depth error of the designed acupuncture robot is approximately 2 mm, which is within the recommended depth range for the Xingzhen operation. In addition, the average detection accuracy of the De Qi keywords is 94.52%, which meets the requirements of acupuncture effect testing for different dialects.

Conclusion: The proposed acupuncture robot system streamlines the acupuncture process, increases efficiency, and reduces practitioner fatigue, while also allowing for the quantification of acupuncture manipulations and evaluation of therapeutic effects. The development of an acupuncture robot system has the potential to revolutionize low back pain treatment and improve patient outcomes.

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