Strategies for Autonomous Sensor-Brain Interfaces for Closed-Loop Sensory Reanimation of Paralyzed Limbs.
Strategies for Autonomous Sensor-Brain Interfaces for Closed-Loop Sensory Reanimation of Paralyzed Limbs.
复制标题
用于瘫痪肢体闭环感觉复活的自主传感器-大脑接口策略。
DOI:
10.1093/neuros/nyx367
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发表时间:
2017
期刊:
影响因子:
4.8
通讯作者:
Richardson,AndrewG
中科院分区:
文献类型:
--
作者:
Lucas,TimothyH;Liu,Xilin;Zhang,Milin;Sritharan,Sri;Planell-Mendez,Ivette;Ghenbot,Yohannes;Torres-Maldonado,Solymar;Brandon,Cameron;VanderSpiegel,Jan;Richardson,AndrewG
The dexterous hand is a defining feature of human existence. Evolved over tens of millions of years, modern humans are able to perform remarkable tasks with their hands. From typing hundreds of words per minute to playing Rachmaninoff’s Piano Concerto No. 2, the dexterous hand defines us. Unfortunately, a number of maladies rob us of this defining human characteristic. In the most extreme case, paralyzed individuals lose communication between the brain and the periphery. This condition affects an estimated 5.4 million people, or 2% of the US population. 1 At present, no effective treatment restores function to these individuals.Regaining hand function is a principal concern for paralyzed patients. Toward this aim, significant advances in motor—or efferent—brain–computer interface (BCI) systems have occurred in recent years. Efferent BCI systems extract movement-relevant information from electrocorticography (ECoG) or electroencephalography (EEG). These analogue signals are transformed into control commands to drive robotic arms 2 or evoke muscle contractions in paralyzed limbs. 3-8 In the later example, compound wrist flexion may be evoked by brain-controlled functional electrical stimulation of forearm flexors. Planned clinical trials aim to capitalize upon these scientific advances to test efferent BCI across a range of conditions and control routines.