Valle Giacomo, Saliji Albulena, Fogle Ezra, Cimolato Andrea, Petrini Francesco M, Raspopovic Stanisa
Laboratory for Neuroengineering, Department of Health Sciences and Technology, Institute for Robotics and Intelligent Systems, ETH Zürich, 8092 Zürich, Switzerland.
SensArs Neuroprosthetics, Saint-Sulpice CH-1025, Switzerland.
Sci Adv. 2021 Apr 21;7(17). doi: 10.1126/sciadv.abd8354. Print 2021 Apr.
Above-knee amputees suffer the lack of sensory information, even while using most advanced prostheses. Restoring intraneural sensory feedback results in functional and cognitive benefits. It is unknown how this artificial feedback, restored through a neuro-robotic leg, influences users' sensorimotor strategies and its implications for future wearable robotics. To unveil these mechanisms, we measured gait markers of a sensorized neuroprosthesis in two leg amputees during motor tasks of different difficulty. Novel sensorimotor strategies were intuitively promoted, allowing for a higher walking speed in both tasks. We objectively quantified the augmented prosthesis' confidence and observed the reshaping of the legs' kinematics toward a more physiological gait. In a possible scenario of a leg amputee driving a conventional car, we showed a finer pressure estimation from the prosthesis. Users exploited different features of the neural stimulation during tasks, suggesting that a simple prosthesis sensorization could be effective for future neuro-robotic prostheses.
即使使用最先进的假肢,膝上截肢者仍会缺乏感觉信息。恢复神经内感觉反馈会带来功能和认知方面的益处。目前尚不清楚通过神经机器人腿恢复的这种人工反馈如何影响用户的感觉运动策略及其对未来可穿戴机器人技术的影响。为了揭示这些机制,我们在两名腿部截肢者进行不同难度运动任务期间,测量了带有传感器的神经假肢的步态标记。新型感觉运动策略被直观地激发出来,使得在两项任务中都能实现更高的步行速度。我们客观地量化了增强型假肢的置信度,并观察到腿部运动学向更符合生理的步态重塑。在腿部截肢者驾驶传统汽车的一种可能场景中,我们展示了来自假肢更精细的压力估计。用户在任务期间利用了神经刺激的不同特征,这表明简单的假肢传感器化可能对未来的神经机器人假肢有效。