DocumentCode :
3684810
Title :
Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality
Author :
Silvia Comani;Lorenzo Schinaia;Gabriella Tamburro;Lucia Velluto;Sandro Sorbi;Silvia Conforto;Biancamaria Guarnieri
Author_Institution :
BIND - Behavioral Imaging and Neural Dynamics Center, University “
fYear :
2015
Firstpage :
3925
Lastpage :
3928
Abstract :
One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality training applications and high resolution electroencephalography (HR-EEG). The outcome of the clinical tests and the evaluation of the kinematic parameters recorded with the robotic device concurred to highlight an improved motor recovery of the impaired limb despite the age of the patient, his compromised motor function, and the start of rehabilitation at the 3rd week post stroke. The time frequency and functional source analysis of the HR-EEG signals permitted to quantify the functional changes occurring in the brain in association with the rehabilitation motor tasks, and to highlight the recovery of the neuro-motor function.
Keywords :
"Electroencephalography","Training","Kinematics","Robots","Three-dimensional displays","Time-frequency analysis","Imaging"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319252
Filename :
7319252
Link To Document :
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