UCLA Center for Advanced Surgical and Interventional Technology (CASIT), Los Angeles, USA.
UCLA Henry Samueli School of Engineering and Applied Science, Los Angeles, USA.
Sci Rep. 2019 Mar 21;9(1):5016. doi: 10.1038/s41598-019-40821-1.
Minimally invasive robotic surgery allows for many advantages over traditional surgical procedures, but the loss of force feedback combined with a potential for strong grasping forces can result in excessive tissue damage. Single modality haptic feedback systems have been designed and tested in an attempt to diminish grasping forces, but the results still fall short of natural performance. A multi-modal pneumatic feedback system was designed to allow for tactile, kinesthetic, and vibrotactile feedback, with the aims of more closely imitating natural touch and further improving the effectiveness of HFS in robotic surgical applications and tasks such as tissue grasping and manipulation. Testing of the multi-modal system yielded very promising results with an average force reduction of nearly 50% between the no feedback and hybrid (tactile and kinesthetic) trials (p < 1.0E-16). The multi-modal system demonstrated an increased reduction over single modality feedback solutions and indicated that the system can help users achieve average grip forces closer to those normally possible with the human hand.
微创手术相对于传统手术方法具有许多优势,但力反馈的丧失以及潜在的强大抓握力可能导致过度的组织损伤。已经设计和测试了单模态触觉反馈系统,试图减小抓握力,但结果仍然低于自然性能。设计了一种多模态气动反馈系统,以提供触觉、运动觉和振动触觉反馈,目的是更紧密地模仿自然触感,并进一步提高 HFS 在机器人手术应用和任务中的效果,例如组织抓取和操作。多模态系统的测试结果非常有前景,在无反馈和混合(触觉和运动觉)试验之间,平均力减少了近 50%(p < 1.0E-16)。多模态系统显示出比单模态反馈解决方案更大的减少,并表明该系统可以帮助用户实现更接近人手通常可能达到的平均握力。