DocumentCode :
777006
Title :
Sensors for brain-computer interfaces
Author :
Hochberg, Leigh R. ; Donoghue, John P.
Author_Institution :
Dept. of Neuroscience, Brown Univ., Providence, RI
Volume :
25
Issue :
5
fYear :
2006
Firstpage :
32
Lastpage :
38
Abstract :
Brain-computer interfaces (BCIs) hold the promise to restore mobility and independence to persons with paralysis. In spinal cord injury, brainstem stroke, and a host of neuromuscular disorders, the intact brain is "disconnected" from its intact target (such as a limb or the facial musculature), preventing mobility and - in locked-in syndrome and severe amyotrophic lateral sclerosis (ALS) - precluding even meaningful verbal communication. If it becomes possible to discern the movement intention of someone with paralysis - reliably, safely, and in real time - it would then be possible to provide not only a robust new method of communication but eventually the ability to gain control over a prosthetic limb or, by connecting to additional technologies, one\´s own limbs. In this review, we survey several methods for revealing neural activity in the human brain and their potential for re-enabling mobility in persons with severe paralysis
Keywords :
biomechanics; brain; diseases; handicapped aids; medical control systems; neurophysiology; prosthetics; reviews; sensors; brain-computer interfaces; brainstem stroke; facial musculature; locked-in syndrome; mobility; neural activity; neuromuscular disorders; paralysis; prosthetic limb; review; sensors; severe amyotrophic lateral sclerosis; spinal cord injury; Actuators; Brain computer interfaces; Decoding; Electroencephalography; Humans; Image sensors; Magnetic resonance imaging; Magnetic sensors; Prosthetic limbs; Sensor systems;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/MEMB.2006.1705745
Filename :
1705745
Link To Document :
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