机器人辅助眼科手术的巩膜力控制:自适应力控制与听觉反馈。

Ali Ebrahimi, Changyan He, Niravkumar Patel, Marin Kobilarov, Peter Gehlbach, Iulian Iordachita
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引用次数: 13

摘要

外科医生的手震颤在显微外科手术过程中限制了人类的能力,比如那些治疗眼睛的手术。相比之下,通过引入显微外科机器人来消除手部震颤会减少外科医生对有用和熟悉的工具到巩膜力的触觉感知。虽然眼外科机器人的大质量和惯性可以防止外科医生的微颤,但失去对巩膜小力的感知可能会使巩膜处于损伤的危险之中。在本文中,我们应用并比较了两种不同的方法来确保机器人辅助眼科手术中巩膜组织的安全性。在主动控制方法中,采用自适应力控制策略控制稳态手眼机器人在巩膜力超出安全边界时的大小。然后将这种自主力补偿与被动力控制方法进行比较,在被动力控制方法中,外科医生根据所提供的与巩膜力大小成比例的音频反馈进行手动调整。对三个用户的初步研究表明,主动控制方法可能更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sclera Force Control in Robot-assisted Eye Surgery: Adaptive Force Control vs. Auditory Feedback.

Sclera Force Control in Robot-assisted Eye Surgery: Adaptive Force Control vs. Auditory Feedback.

Sclera Force Control in Robot-assisted Eye Surgery: Adaptive Force Control vs. Auditory Feedback.

Sclera Force Control in Robot-assisted Eye Surgery: Adaptive Force Control vs. Auditory Feedback.

Surgeon hand tremor limits human capability during microsurgical procedures such as those that treat the eye. In contrast, elimination of hand tremor through the introduction of microsurgical robots diminishes the surgeons tactile perception of useful and familiar tool-to-sclera forces. While the large mass and inertia of eye surgical robot prevents surgeon microtremor, loss of perception of small scleral forces may put the sclera at risk of injury. In this paper, we have applied and compared two different methods to assure the safety of sclera tissue during robot-assisted eye surgery. In the active control method, an adaptive force control strategy is implemented on the Steady-Hand Eye Robot in order to control the magnitude of scleral forces when they exceed safe boundaries. This autonomous force compensation is then compared to a passive force control method in which the surgeon performs manual adjustments in response to the provided audio feedback proportional to the magnitude of sclera force. A pilot study with three users indicate that the active control method is potentially more efficient.

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