NDLI: Brain-computer interface in chronic stroke: An application of sensorimotor closed-loop and contingent force feedback

Content Provider	IEEE Xplore Digital Library
Author	Cisotto, G. Pupolin, S. Silvoni, S. Cavinato, M. Agostini, M. Piccione, F.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Eng., Univ. of Padua, Padua, Italy (Cisotto, G.; Pupolin, S.) \|\| Dept. of Neurophysiol., I.R.C.C.S. S. Camillo Hosp. Found., Venice, Italy (Silvoni, S.; Cavinato, M.; Agostini, M.; Piccione, F.)
Abstract	Motor rehabilitation after stroke injury is highly important since the number of people suffering this disease is constantly increasing. Brain-Computer Interfaces (BCIs) have been recently used in the recovery of motor functions: in particular, the closed loop involving sensorimotor brain rhythms, assist-ive-robot training and proprioceptive feedback in an operant learning fashion might be potentially one of the most effective ways to promote the neural plasticity of the ipsilesional brain hemisphere and to restore motor abilities. This study aimed at implementing such a scheme: one chronic stroke patient was recruited and underwent the experiment using both the damaged and the healthy arm, considered as control during the following analysis. Kinematic and neurophysiological outcomes confirmed the efficacy of this treatment and supported the hypothesis that a contingent force feedback can improve motor functions of the upper limb.
Starting Page	4379
Ending Page	4383
File Size	289918
Page Count	5
File Format	PDF
ISBN	9781467331227
ISSN	15503607
DOI	10.1109/ICC.2013.6655255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-09
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Field-flow fractionation Artificial intelligence motor rehabilitation stroke upper limb brain-computer interface proprioceptive contingent force feedback sensorimotor closed-loop sensorimotor rhythms neuroplasticity
Content Type	Text
Resource Type	Article

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