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Published in:
2017 | OriginalPaper | Chapter
Design and Application of Auditory Evoked EEG Processing Platform Based on Matlab
Authors : Rong Yang, Hui-qun Fu, Xiu-feng Zhang, Li Wang, Ning Zhang, Feng-ling Ma
Published in: Wearable Sensors and Robots
Publisher: Springer Singapore
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Abstract
To improve the processing speed and efficiency of imaging EEG signals, a processing system based on Matlab GUI and Virtual Reality sink which integrates various algorithms such as Independent Component Analysis, Hilbert–Huang Transform, Support Vector Machine, etc., is designed in this paper. The EEG data used is collected based on a novel auditory evoked method proposed in this paper. The experimental results indicate that the novel evoked method has preferable recognition that can reach to 87.2 %, and the classification results can control the movement of the designed virtual arm accurately. This research provides a certain theory and experiment basis for the research of the stroke rehabilitation robot based on the imaging movement EEG signal of auditory evoking.