Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors

Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors

This study demonstrates the feasibility of detecting motor intent from brain activity of chronic stroke patients using an asynchronous electroencephalography (EEG)-based brain machine interface (BMI). Intent was inferred from movement related cortical potentials (MRCPs) measured over an optimized se...

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Bibliographic Details
Main Authors: Nikunj Arunkumar Bhagat, Anusha eVenkatakrishnan, Berdakh eAbibullaev, Edward J. Artz, Nuray eYozbatiran, Amy A. Blank, James eFrench, Christof eKarmonik, Robert G Grossman, Marcia K O'Malley, Gerard eFrancisco, Jose Luis Contreras-Vidal
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-03-01
Series:Frontiers in Neuroscience
Subjects:
stroke rehabilitation
Brain machine interface (BMI)
Movement Related Cortical Potentials (MRCPs)
robotic exoskeleton
motor intent detection
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00122/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00122/full

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