A MEG Study of Different Motor Imagery Modes in Untrained Subjects for BCI Applications

@inproceedings{Hramov2019AMS,
  title={A MEG Study of Different Motor Imagery Modes in Untrained Subjects for BCI Applications},
  author={A. Hramov and E. Pitsik and Parth Chholak and V. Maksimenko and N. Frolov and S. Kurkin and A. Pisarchik},
  booktitle={ICINCO},
  year={2019}
}
Motor imagery is a most commonly studied neurophysiological pattern that is used in brain-computer interfaces as a command for exoskeletons, bioprostheses, wheelchair and other robotic devices. The mechanisms of motor imagery manifestation in human brain activity include dynamics of motor-related frequency bands in various brain areas, among which the most common is sensorimotor rhythnm. In present work we consider time-frequency structure of magnitoencephalographical (MEG) motor imagery in… Expand
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