Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.
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使用神经控制的机器人臂触及四肢瘫痪的人。
DOI：
10.1038/nature11076
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发表时间：
2012-05-16
期刊：
影响因子：
64.8
通讯作者：
Donoghue, John P.
中科院分区：
文献类型：
--
作者：
Hochberg, Leigh R.;Bacher, Daniel;Jarosiewicz, Beata;Masse, Nicolas Y.;Simeral, John D.;Vogel, Joern;Haddadin, Sami;Liu, Jie;Cash, Sydney S.;van der Smagt, Patrick;Donoghue, John P.
脊髓损伤（SCI）、脑干中风、肌萎缩性脊髓侧索硬化症（ALS）和其他疾病引起的瘫痪可以使大脑与身体断开，消除进行意志运动的能力。神经接口系统（NIS）可以通过将神经元活动直接转化为辅助设备的控制信号来恢复瘫痪患者的活动能力和独立性。我们之前已经证明，长期四肢瘫痪的人可以使用 NIS 移动和单击计算机光标并控制物理设备。健全的猴子已经使用 NIS 来控制机械臂，但尚不清楚患有严重上肢瘫痪或肢体丧失的人是否可以使用皮质神经元信号来指导有用的手臂动作。在这里，我们展示了两个长期四肢瘫痪的人使用基于 NIS 的机械臂控制来执行三维伸展和抓取运动的能力。参与者无需明确训练，即可在广阔的空间内控制手臂，使用的是从 96 通道微电极阵列记录的一小部分局部运动皮层 (MI) 神经元解码的信号。五年前植入传感器的一名研究参与者也使用机械臂从瓶子里喝咖啡。虽然机器人的触及和抓握动作不如健全人的快速或准确，但我们的结果证明了四肢瘫痪的人在中枢神经系统损伤多年后直接从一小部分神经信号样本中重新创建对复杂设备的有用的多维控制的可行性。
Paralysis following spinal cord injury (SCI), brainstem stroke, amyotrophic lateral sclerosis (ALS) and other disorders can disconnect the brain from the body, eliminating the ability to carry out volitional movements. A neural interface system (NIS) could restore mobility and independence for people with paralysis by translating neuronal activity directly into control signals for assistive devices. We have previously shown that people with longstanding tetraplegia can use an NIS to move and click a computer cursor and to control physical devices. Able-bodied monkeys have used an NIS to control a robotic arm, but it is unknown whether people with profound upper extremity paralysis or limb loss could use cortical neuronal ensemble signals to direct useful arm actions. Here, we demonstrate the ability of two people with long-standing tetraplegia to use NIS-based control of a robotic arm to perform three-dimensional reach and grasp movements. Participants controlled the arm over a broad space without explicit training, using signals decoded from a small, local population of motor cortex (MI) neurons recorded from a 96-channel microelectrode array. One of the study participants, implanted with the sensor five years earlier, also used a robotic arm to drink coffee from a bottle. While robotic reach and grasp actions were not as fast or accurate as those of an able-bodied person, our results demonstrate the feasibility for people with tetraplegia, years after CNS injury, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.
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影响因子：
4
作者：
Chestek CA;Gilja V;Nuyujukian P;Foster JD;Fan JM;Kaufman MT;Churchland MM;Rivera-Alvidrez Z;Cunningham JP;Ryu SI;Shenoy KV
通讯作者：
Shenoy KV
影响因子：
64.8
作者：
Moritz, Chet T.;Perlmutter, Steve I.;Fetz, Eberhard E.
通讯作者：
Fetz, Eberhard E.
DOI：
10.3389/fneng.2010.00006
发表时间：
2010
期刊：
Frontiers in neuroengineering
影响因子：
--
作者：
Krüger J;Caruana F;Volta RD;Rizzolatti G
通讯作者：
Rizzolatti G
DOI：
10.1109/tnsre.2010.2092443
发表时间：
2011-02
期刊：
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
影响因子：
--
作者：
Malik WQ;Truccolo W;Brown EN;Hochberg LR
通讯作者：
Hochberg LR
影响因子：
5.7
作者：
Albu-Schaeffer, Alin;Eiberger, Oliver;Hirzinger, Gerd
通讯作者：
Hirzinger, Gerd