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Kim, Sung-Phil
Brain-Computer Interface (BCI) Lab
Research Interests
  • Brain-computer interface, Statistical Signal Processing, Neural Code, Neuromarketing

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Assessment of Cognitive Engagement in Stroke Patients From Single-Trial EEG During Motor Rehabilitation

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Title
Assessment of Cognitive Engagement in Stroke Patients From Single-Trial EEG During Motor Rehabilitation
Author
Park, WanjooKwon, Gyu HyunKim, Da-HyeKim, Yun-HeeKim, Sung-PhilKim, Laehyun
Issue Date
2015-05
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.23, no.3, pp.351 - 362
Abstract
We propose a novel method for monitoring cognitive engagement in stroke patients during motor rehabiltation. Active engagement reflects implicit motivation and can enhance motor recovery. In this study, we used EEG to ases cognitive engagement in 1 chronic stroke patients while they executed active and pasive motor tasks involving grasping and supination hand movements. We observed that he active motor task induced larger event-related desynchronization (ERD) than the pasive task in the bilateral motor cortex and suplementary motor area(SMA). ERD diferences betwen tasks were observed during both initial and post-movement periods (p < 0.01). Aditionaly, diferences in beta band activity were larger than diferences in mu band activity (p < 0.01). EEG data was used to help clasify each trial as involving the active or pasive motor task. Average clasification acuracy was 80.7 ± 0.1% for grasping movement and 82.8 ± 0.1% for supination movement. Clasification acuracy using a combination of movement and post-movement periods was higher than in other cases (p < 0.05). Our results suport using EEG to ases cognitive engagement in stroke patients during motor rehabiltation.
URI
https://scholarworks.unist.ac.kr/handle/201301/11443
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6901279
DOI
10.1109/TNSRE.2014.2356472
ISSN
1534-4320
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