The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2A1-O10
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Development of Hybrid BCI using EEG and EMG for combined tasks
*Yukina OKAWANorihiko SAGA
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Keywords: EEG, EMG, BCI, Combined motion
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Abstract

The upper limb support equipment being developed in this laboratory are intended for hemiplegic patients after stroke and people with reduced muscle strength. We are focusing on EEG to obtain the movement intention. The EEG is useful for rehabilitation of hemiplegic patients after stroke because it is expected to recover the motor function based on the plasticity of the brain. In this study, we aimed to develop a BCI that can acquire the movement intention of a single movement included in a meal movement by using EMG in addition to EEG. We conducted experiments on flexion and extension movements of the shoulder and elbow joints included in the meal movement.

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© 2022 The Japan Society of Mechanical Engineers
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