Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

Two people with long-standing tetraplegia use neural interface system-based control of a robotic arm to perform three-dimensional reach and grasp movements. People with tetraplegia able to grasp with robotic arm John Donoghue and colleagues have previously demonstrated that people with tetraplegia c...

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Vydané v:	Nature (London) Ročník 485; číslo 7398; s. 372 - 375
Hlavní autori:	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.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 17.05.2012 Nature Publishing Group
Predmet:	631/114/1305 631/378/1689 631/443/376 639/766/25 Aged Applied sciences Arm - physiology Biological and medical sciences Calibration Care and treatment Central nervous system Computer science; control theory; systems Computer systems and distributed systems. User interface Control theory. Systems Drinking - physiology Exact sciences and technology Female Hand - physiology Hand Strength - physiology Humanities and Social Sciences Humans letter Local population Male Man-Machine Systems Medical sciences Microelectrodes Middle Aged Motor Cortex - cytology Motor Cortex - physiology Movement - physiology multidisciplinary Nervous system (semeiology, syndromes) Nervous system as a whole Neurology Psychomotor Performance Quadriplegia Quadriplegia - physiopathology Robotics Robotics - instrumentation Robotics - methods Robots Science Science (multidisciplinary) Signal processing Software Time Factors United States Human Gripping Tetraplegia Nervous system diseases Motor system disorder Male Robotics Treatment User interface Motor cortex Adult Female Neurological disorder Woman Arm
ISSN:	0028-0836, 1476-4687, 1476-4687
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