Gyu-Hyun Kwon

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This paper proposes a robotic hand rehabilitation device for grasp training. The device is designed for stroke patients to train and recover their hand grasp function in order to undertake activities of daily living (ADL). The device consists of a control unit, two small actuators, an infrared (IR) sensor, and pressure sensors in the grasp handle. The(More)
We investigated neural activity from electroencephalography (EEG) during the use of a haptic-based hand rehabilitation device. While healthy participants (right-handed) performed a series of hand supination/pronation tasks, EEG signals of the participants were measured and compared across different tasks such as motor imagery (MI task), passive movement(More)
PURPOSE In brain-computer interfaces (BCIs), electrical brain signals during motor imagery are utilized as commands connecting the brain to a computer. To use BCI in patients with stroke, unique brain signal changes should be characterized during motor imagery process. This study aimed to examine the trial-dependent motor-imagery-related activities in(More)
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