http://ieeexplore.ieee.org/abstract/document/7870705/
Abstract:
Stroke
is a leading cause for adult disability, which in many cases causes
motor deficits. Despite the developments in motor rehabilitation
techniques, recovery of upper limb functions after stroke is limited and
heterogeneous in terms of outcomes, and knowledge of important factors
that may affect the outcome of the therapy is necessary to make a
reasonable prediction for individual patients. In this study, we
assessed the relationship between quantitative electroencephalographic
(QEEG) measures and the motor outcome in chronic stroke patients that
underwent a robot-assisted rehabilitation program to evaluate the
utility of QEEG indices to predict motor recovery. For this purpose, we
acquired resting-state electroencephalographic signals from which the
Power Ratio Index (PRI), Delta/Alpha Ratio (DAR), and Brain Symmetry
Index (BSI) were calculated. The outcome of the motor rehabilitation was
evaluated using upper-limb section of the Fugl-Meyer Assessment. We
found that PRI was significantly correlated with the motor recovery,
suggesting that this index may provide useful information to predict the
rehabilitation outcome.
Published in:
IEEE Transactions on Neural Systems and Rehabilitation Engineering
(
Volume: PP, Issue: 99
)
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