Department of Mechanical Engineering, Stanford University, 424 Panama Mall, Stanford, CA, 94305, USA,
Surg Endosc. 2014 Jul;28(7):2145-58. doi: 10.1007/s00464-014-3446-5. Epub 2014 Feb 12.
Robot-assisted surgery is widely adopted for many procedures but has not realized its full potential to date. Based on human motor control theories, the authors hypothesized that the dynamics of the master manipulators impose challenges on the motor system of the user and may impair performance and slow down learning. Although studies have shown that robotic outcomes are correlated with the case experience of the surgeon, the relative contribution of cognitive versus motor skill is unknown. This study quantified the effects of da Vinci Si master manipulator dynamics on movements of novice users and experienced surgeons and suggests possible implications for training and robot design.
In the reported study, six experienced robotic surgeons and ten novice nonmedical users performed movements under two conditions: teleoperation of a da Vinci Si Surgical system and freehand. A linear mixed model was applied to nine kinematic metrics (including endpoint error, movement time, peak speed, initial jerk, and deviation from a straight line) to assess the effects of teleoperation and expertise. To assess learning effects, t tests between the first and last movements of each type were used.
All the users moved slower during teleoperation than during freehand movements (F(1,9343) = 345; p < 0.001). The experienced surgeons had smaller errors than the novices (F(1,14) = 36.8; p < 0.001). The straightness of movements depended on their direction (F(7,9343) = 117; p < 0.001). Learning effects were observed in all conditions. Novice users first learned the task and then the dynamics of the manipulator.
The findings showed differences between the novices and the experienced surgeons for extremely simple point-to-point movements. The study demonstrated that manipulator dynamics affect user movements, suggesting that these dynamics could be improved in future robot designs. The authors showed the partial adaptation of novice users to the dynamics. Future studies are needed to evaluate whether it will be beneficial to include early training sessions dedicated to learning the dynamics of the manipulator.
机器人辅助手术已广泛应用于多种手术,但迄今为止尚未充分发挥其潜力。基于人体运动控制理论,作者假设主操纵器的动力学对用户的运动系统构成挑战,可能会影响性能并减缓学习速度。尽管研究表明机器人手术结果与外科医生的手术经验相关,但认知与运动技能的相对贡献尚不清楚。本研究量化了达芬奇 Si 主操纵器动力学对新手用户和经验丰富的外科医生运动的影响,并提出了对培训和机器人设计的可能影响。
在本研究中,六位经验丰富的机器人外科医生和十位非医学新手用户在两种条件下进行了运动:达芬奇 Si 手术系统的遥控操作和徒手操作。线性混合模型应用于 9 个运动学指标(包括端点误差、运动时间、峰值速度、初始冲击和偏离直线),以评估遥控操作和专业知识的影响。为了评估学习效果,使用 t 检验比较了每种类型的前一个和最后一个运动。
所有用户在遥控操作时比徒手操作时移动速度更慢(F(1,9343)= 345;p < 0.001)。经验丰富的外科医生的误差小于新手(F(1,14)= 36.8;p < 0.001)。运动的直线度取决于其方向(F(7,9343)= 117;p < 0.001)。所有条件下均观察到学习效果。新手用户首先学习任务,然后学习操纵器的动力学。
该研究结果表明,在极简单的点对点运动中,新手和经验丰富的外科医生之间存在差异。该研究表明,操纵器动力学会影响用户运动,这表明未来的机器人设计可以改进这些动力学。作者展示了新手用户对动力学的部分适应。需要进一步的研究来评估是否包括专门用于学习操纵器动力学的早期培训课程将是有益的。