Journal
BIOMED RESEARCH INTERNATIONAL
Volume 2017, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2017/8316485
Keywords
-
Funding
- Natural Science Foundation of Tianjin City [15JCYBJC51800]
- Tianjin Key
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Anovel hybrid brain-computer interface (BCI) based on the electroencephalogram(EEG) signal which consists of a motor imagery( MI-) based online interactive brain-controlled switch, teeth clenching state detector, and a steady-state visual evoked potential( SSVEP-) based BCI was proposed to provide multidimensional BCI control. MI-based BCI was used as single-pole double throw brain switch (SPDTBS). By combining the SPDTBS with 4-class SSEVP-based BCI, movement of robotic arm was controlled in three-dimensional (3D) space. In addition, muscle artifact (EMG) of teeth clenching condition recorded from EEG signal was detected and employed as interrupter, which can initialize the statement of SPDTBS. Real-time writing task was implemented to verify the reliability of the proposed noninvasive hybrid EEG-EMG-BCI. Eight subjects participated in this study and succeeded to manipulate a robotic arm in 3D space to write some English letters. The mean decoding accuracy of writing task was 0.93 + 0.03. Four subjects achieved the optimal criteria of writing the word HI which is the minimum movement of robotic arm directions (15 steps). Other subjects had needed to take from 2 to 4 additional steps to finish the whole process. These results suggested that our proposed hybrid noninvasive EEG-EMG-BCI was robust and efficient for real-time multidimensional robotic arm control.
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