Judkins Timothy N, Oleynikov Dmitry, Stergiou Nick
HPER Biomechanics Lab, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Stud Health Technol Inform. 2006;119:243-8.
Robotic laparoscopic surgery has revolutionized minimally invasive surgery for treatment of abdominal pathologies. However, current training techniques rely on subjective evaluation. There is a lack of research on the type of tasks that should be used for training. Robotic surgical systems also do not currently have the ability to provide feedback to the surgeon regarding success of performing tasks. We trained medical students on three laparoscopic tasks and provided real-time feedback of performance during training. We found that real-time feedback can benefit training if the feedback provides information that is not available through other means (grip force). Subjects that received grip force feedback applied less force when the feedback was removed. Other forms of feedback (speed and relative phase) did not aid or impede training. Secondly, a relatively short training period (10 trials for each task) significantly improved most objective measures of performance. We also showed that robotic surgical performance can be quantitatively measured and evaluated. Providing grip force feedback can make the surgeon more aware of the forces being applied to delicate tissue during surgery.
机器人腹腔镜手术彻底改变了治疗腹部疾病的微创手术方式。然而，目前的训练技术依赖主观评估。对于应采用何种类型的任务进行训练，缺乏相关研究。机器人手术系统目前也无法就任务执行的成功情况向外科医生提供反馈。我们对医学生进行了三项腹腔镜任务的训练，并在训练过程中提供了实时性能反馈。我们发现，如果反馈提供了通过其他方式（握力）无法获得的信息，实时反馈有助于训练。当去除反馈时，接受握力反馈的受试者施加的力量较小。其他形式的反馈（速度和相对相位）对训练没有帮助也没有阻碍。其次，相对较短的训练期（每项任务进行10次试验）显著改善了大多数客观性能指标。我们还表明，机器人手术性能可以进行定量测量和评估。提供握力反馈可以使外科医生在手术过程中更清楚地意识到施加在脆弱组织上的力量。
