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1Department of Electronics and Information Engineering,Korea University, 2Department of Rehabilitation Medicine, Seoul National University College of Medicine,Seoul National University Bundang Hospital, 3Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology,Korea University
Chapters
- 00:05Introduction
- 01:15Experimental Setup
- 01:56Recording Movement-Related Electroencephalography (EEG) Data
- 04:39Results: Analysing the Four Weighted Global-Level Network Indices
- 05:51Conclusion
The experimental protocol demonstrates the paradigm for acquiring and analyzing electroencephalography (EEG) signals during upper limb movement in individuals with stroke. The alteration of the functional network of low-beta EEG frequency bands was observed during the movement of the impaired upper limb and was associated with the degree of motor impairment.
