Chandra Sourav, Hayashibe Mitsuhiro, Thondiyath Asokan, Ramalingam Manickam
Robotics Laboratory, Department of Engineering Design, Indian Institute of Technology Madras, Chennai, 600036, India.
INRIA Sophia-Antipolis and LIRMM, University of Montpellier, 34095, Montpellier, Cedex 5, France.
Int J Med Robot. 2017 Sep;13(3). doi: 10.1002/rcs.1772. Epub 2016 Sep 20.
Fatigue induced hand tremor (FIT) is a primary limiting concern for the prolonged surgical intervention in minimally invasive surgery (MIS) and robot-assisted-minimally invasive surgery (RAMIS). A thorough analysis is necessary to understand the FIT characteristics in laparoscopic tool movement. The primary aim of this study is to perform a differential analysis of the elbow and wrist tremor due to muscle fatigue in laparoscopic manoeuvring.
We have introduced a joint angle based tremor analysis method, which enables us to perform a differential study of FIT characteristics at the individual joint. Experimental data was acquired from a group of subjects during static and dynamic laparoscopic movement in an imitative RAMIS master manipulation scenario. A repetitive task was performed with a total span of 1 h for observing the effect of muscle fatigue. Along with the joint angle variation, surface electromyography (sEMG) signal was also studied in the analysis.
The wrist tremor is more predominant than tremor generated at the elbow, especially in highly fatigued condition. The high-frequency tremor (>4 Hz) is contributed by the wrist joint. Moreover, the variation of the wrist and elbow tremor ratio was found to be dependent upon the experience of the surgeons.
In this work, we have investigated the attribution of elbow and wrist joints in FIT during laparoscopic tool manipulation. The outcomes may be useful for the design of robot-assisted surgical manipulator, and can be used for quality assessment of surgical training as well.
疲劳诱发的手部震颤(FIT)是微创外科手术(MIS)和机器人辅助微创手术(RAMIS)中长时间手术干预的主要限制因素。有必要进行全面分析以了解腹腔镜工具运动中的FIT特征。本研究的主要目的是对腹腔镜操作中肌肉疲劳引起的肘部和腕部震颤进行差异分析。
我们引入了一种基于关节角度的震颤分析方法,该方法使我们能够对各个关节的FIT特征进行差异研究。实验数据是在模拟RAMIS主操作场景下,一组受试者进行静态和动态腹腔镜运动时采集的。执行一项总时长为1小时的重复任务,以观察肌肉疲劳的影响。在分析中,除了关节角度变化外,还研究了表面肌电图(sEMG)信号。
腕部震颤比肘部产生的震颤更明显,尤其是在高度疲劳的情况下。高频震颤(>4Hz)由腕关节引起。此外,发现腕部和肘部震颤比率的变化取决于外科医生的经验。
在这项工作中,我们研究了腹腔镜工具操作过程中肘部和腕部关节在FIT中的作用。这些结果可能对机器人辅助手术操纵器的设计有用,也可用于手术训练的质量评估。