TY - JOUR
T1 - Restoration of whole body movement
T2 - Toward a noninvasive brain-machine interface system
AU - Contreras-Vidal, José L.
AU - Presacco, Alessandro
AU - Agashe, Harshavardhan
AU - Paek, Andrew
N1 - Funding Information:
In the past year, we have partnered with the colleagues in the Department of Physical Therapy and Rehabilitation at the University of Maryland School of Medicine in Baltimore. The research, funded in part by the National Institutes of Health and a seed grant program between the University of Maryland and the University of Maryland, Baltimore, has tracked the neural activity of people in motion.
Funding Information:
supported in part by National Institute of Neurological Disorders and Stroke under award number R01NS075889, National Science Foundation under award no IIS-1064703, the University of Maryland at College Park–University of Maryland at Baltimore Seed Grant Program, and the National Academies Keck Future Initiative on Smart Prosthetics.
PY - 2012/1
Y1 - 2012/1
N2 - This article highlights recent advances in the design of noninvasive neural interfaces based on the scalp electroencephalogram (EEG). The simplest of physical tasks, such as turning the page to read this article, requires an intense burst of brain activity. It happens in milliseconds and requires little conscious thought. But for amputees and stroke victims with diminished motor-sensory skills, this process can be difficult or impossible. Our team at the University of Maryland, in conjunction with the Johns Hopkins Applied Physics Laboratory (APL) and the University of Maryland School of Medicine, hopes to offer these people newfound mobility and dexterity. In separate research thrusts, were using data gleaned from scalp EEG to develop reliable brainmachine interface (BMI) systems that could soon control modern devices such as prosthetic limbs or powered robotic exoskeletons.
AB - This article highlights recent advances in the design of noninvasive neural interfaces based on the scalp electroencephalogram (EEG). The simplest of physical tasks, such as turning the page to read this article, requires an intense burst of brain activity. It happens in milliseconds and requires little conscious thought. But for amputees and stroke victims with diminished motor-sensory skills, this process can be difficult or impossible. Our team at the University of Maryland, in conjunction with the Johns Hopkins Applied Physics Laboratory (APL) and the University of Maryland School of Medicine, hopes to offer these people newfound mobility and dexterity. In separate research thrusts, were using data gleaned from scalp EEG to develop reliable brainmachine interface (BMI) systems that could soon control modern devices such as prosthetic limbs or powered robotic exoskeletons.
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U2 - 10.1109/MPUL.2011.2175635
DO - 10.1109/MPUL.2011.2175635
M3 - Article
C2 - 22344949
AN - SCOPUS:84857497374
SN - 2154-2287
VL - 3
SP - 34
EP - 37
JO - IEEE Pulse
JF - IEEE Pulse
IS - 1
M1 - 6153109
ER -