Virtual Reality Provides an Effective Platform for Functional Evaluations of Closed-Loop Neuromyoelectric Control
Virtual Reality Provides an Effective Platform for Functional Evaluations of Closed-Loop Neuromyoelectric Control
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DOI：
10.1109/tnsre.2019.2908817
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发表时间：
2019-05-01
影响因子：
4.9
通讯作者：
Clark, Gregory A.
中科院分区：
文献类型：
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作者：
Kluger, David T.;Joyner, Janell S.;Clark, Gregory A.
尽管神经假体的最新进展为改进和直观地控制先进的机动和传感机械臂提供了机会，但与此类硬件相关的实际并发症可能会阻碍临床翻译所需的研究。这些障碍可以通过使用物理机械手的虚拟模型嵌入物理引擎的虚拟现实环境(VRE)来潜在地减少。与物理原型相比，这些软件套件提供了几个优势，包括高重复性、减少人为错误、消除许多次要感官提示等。VRE中的闭环式假体演示有限，目前尚不清楚VRE的性能是否会转化为物理世界。在这里，我们描述了两名接受神经和肌肉内植入的截肢者如何识别物体并进行日常生活活动，并在VRE中对假体进行闭环控制。我们的初步证据进一步表明，虚拟假体的能力可能是物理假体性能的预测指标，证明了VRES对神经假体研究的有效性。
Although recent advances in neuroprostheses offer opportunities for improved and intuitive control of advanced motorized and sensorized robotic arms, practical complications associated with such hardware can impede the research necessary for clinical translation. These hurdles potentially can be reduced with virtual reality environments (VREs) with embedded physics engines using virtual models of physical robotic hands. These software suites offer several advantages over physical prototypes, including high repeatability, reduced human error, elimination of many secondary sensory cues, and others. There are limited demonstrations of closed-loop prostheses in the VRE, and it is unclear whether VRE performance translates to the physical world. Here we describe how two trans-radial amputees with neural and intramuscular implants identified objects and performed activities of daily living with closed-loop control of prostheses in the VRE. Our initial evidence further suggests that capabilities with virtual prostheses may be predictors of physical prosthesis performance, demonstrating the utility of VREs for neuroprosthetic research.