Park, Wanjoo Kwon, Gyu Hyun Kim, Da-Hye Kim, Yun-Hee Kim, Sung-Phil Kim, Laehyun 2024-01-20T07:03:49Z 2024-01-20T07:03:49Z 2021-09-05 2015-05 1534-4320 https://pubs.kist.re.kr/handle/201004/125495 We propose a novel method for monitoring cognitive engagement in stroke patients during motor rehabilitation. Active engagement reflects implicit motivation and can enhance motor recovery. In this study, we used electroencephalography (EEG) to assess cognitive engagement in 11 chronic stroke patients while they executed active and passive motor tasks involving grasping and supination hand movements. We observed that the active motor task induced larger event-related desynchronization (ERD) than the passive task in the bilateral motor cortex and supplementary motor area (SMA). ERD differences between tasks were observed during both initial and post-movement periods (p < 0.01). Additionally, differences in beta band activity were larger than differences in mu band activity (p < 0.01). EEG data was used to help classify each trial as involving the active or passive motor task. Average classification accuracy was 80.7 +/- 0.1% for grasping movement and 82.8 +/- 0.1% for supination movement. Classification accuracy using a combination of movement and post-movement periods was higher than in other cases (p < 0.05). Our results support using EEG to assess cognitive engagement in stroke patients during motor rehabilitation. English Institute of Electrical and Electronics Engineers Assessment of Cognitive Engagement in Stroke Patients From Single-Trial EEG During Motor Rehabilitation Article 10.1109/TNSRE.2014.2356472 1 IEEE Transactions on Neural Systems and Rehabilitation Engineering, v.23, no.3, pp.351 - 362 IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 3 351 362 N scie scopus 000354467200003 2-s2.0-84929320800 Engineering, Biomedical Rehabilitation Engineering Rehabilitation Article BRAIN-COMPUTER INTERFACES EVENT-RELATED DESYNCHRONIZATION MOVEMENT IMAGERY ARM CLASSIFICATION COMMUNICATION IMPAIRMENT SPASTICITY INTENTION Brain-computer interface (BCI) cognitive engagement electroencephalography (EEG) rehabilitation stroke