Gillespie R Brent, Contreras-Vidal Jose Luis, Shewokis Patricia A, O'Malley Marcia K, Brown Jeremy D, Agashe Harshavardhan, Gentili Rodolphe, Davis Alicia
Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5077-80. doi: 10.1109/IEMBS.2010.5626206.
To harness the increased dexterity and sensing capabilities in advanced prosthetic device designs, amputees will require interfaces supported by novel forms of sensory feedback and novel control paradigms. We are using a motorized elbow brace to feed back grasp forces to the user in the form of extension torques about the elbow. This force display complements myoelectric control of grip closure in which EMG signals are drawn from the biceps muscle. We expect that the action/reaction coupling experienced by the biceps muscle will produce an intuitive paradigm for object manipulation, and we hope to uncover neural correlates to support this hypothesis. In this paper we present results from an experiment in which 7 able-bodied persons attempted to distinguish three objects by stiffness while grasping them under myoelectric control and feeling reaction forces displayed to their elbow. In four conditions (with and without force display, and using biceps myoelectric signals ipsilateral and contralateral to the force display,) ability to correctly identify objects was significantly increased with sensory feedback.
为了利用先进假肢设计中增强的灵活性和传感能力，截肢者将需要由新型感觉反馈形式和新型控制范式支持的接口。我们正在使用一种电动肘部支架，以围绕肘部的伸展扭矩的形式向用户反馈抓握力。这种力显示补充了抓握闭合的肌电控制，其中肌电信号从肱二头肌引出。我们预计肱二头肌所经历的动作/反应耦合将产生一种直观的物体操纵范式，并且我们希望揭示神经关联以支持这一假设。在本文中，我们展示了一项实验的结果，在该实验中，7名身体健全的人在肌电控制下抓握物体并感受向其肘部显示的反作用力时，试图通过硬度区分三个物体。在四种条件下（有和没有力显示，以及使用与力显示同侧和对侧的肱二头肌肌电信号），感觉反馈显著提高了正确识别物体的能力。
