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使用光学运动捕捉系统分析机器人模拟器任务中的姿势模式。

Analysis of the posture pattern during robotic simulator tasks using an optical motion capture system.

机构信息

Department of Urology and Andrology, Graduate School of Medicine, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, 573-1191, Japan.

出版信息

Surg Endosc. 2018 Jan;32(1):183-190. doi: 10.1007/s00464-017-5655-1. Epub 2017 Jun 29.

DOI:10.1007/s00464-017-5655-1
PMID:28664432
Abstract

BACKGROUND

Surgeons are sometimes forced to maintain uncomfortable joint positions during robotic surgery despite the high degree of instrument maneuverability. This study aimed to use an optical motion capture system to analyze the differences in posture patterns during robotic simulator tasks between surgeons at two skill levels.

METHODS

Ten experienced and ten novice surgeons performed two tasks in a da Vinci Skills Simulator: Suture Sponge 1 (SP) and Tubes (TU). The participants' upper body motion during each task was captured, including the joint angles (axilla, elbow, and wrist), the percentage of time when the wrist height was lower than the elbow height (PTW), and the height of the elbow and wrist relative to the armrest.

RESULTS

The novice group showed significantly more excess extension in both elbow angles and extension (>50°) in both wrist angles than did the experienced group. The novice group had significantly lower PTW than the experienced group on the right side in both tasks (both p < 0.001), and on the left side in SP (p < 0.001). Compared with the experienced group, the novice group had a significantly higher elbow relative to the armrest on the right side (SP, TU: p < 0.05), and a significantly lower wrist relative to the armrest on the right side (SP, TU: p < 0.05).

CONCLUSIONS

An optical motion capture system can detect the differences in posture patterns in the positional relationship between the elbow and wrist and the joint angles of the upper limb between two groups of surgeons at different skill levels during robotic simulator tasks.

摘要

背景

尽管机器人手术器械具有高度的可操作性,但外科医生有时仍被迫保持不舒适的关节位置。本研究旨在使用光学运动捕捉系统分析在机器人模拟器任务中,两个技能水平的外科医生的姿势模式差异。

方法

10 名经验丰富的外科医生和 10 名新手外科医生在达芬奇技能模拟器中执行了两项任务:缝合海绵 1(SP)和管(TU)。在每个任务中,捕获参与者的上半身运动,包括关节角度(腋窝、肘部和手腕)、手腕高度低于肘部高度的时间百分比(PTW)以及肘部和手腕相对于扶手的高度。

结果

新手组在两个任务中,肘部角度和腕部角度的过度伸展(>50°)明显多于经验丰富组。新手组在两个任务的右侧(均 p<0.001)和 SP 的左侧(p<0.001)的 PTW 明显低于经验丰富组。与经验丰富组相比,新手组右侧肘部相对于扶手的高度显著较高(SP、TU:p<0.05),而右侧腕部相对于扶手的高度显著较低(SP、TU:p<0.05)。

结论

光学运动捕捉系统可以检测到在机器人模拟器任务中,两个不同技能水平的外科医生在姿势模式上的差异,即在肘部和手腕的位置关系以及上肢关节角度上的差异。

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