A Multi-Class Tactile Brain-Computer Interface Based on Stimulus-Induced Oscillatory Dynamics

We proposed a multi-class tactile brain-computer interface that utilizes stimulus-induced oscillatory dynamics. It was hypothesized that somatosensory attention can modulate tactile-induced oscillation changes, which can decode different sensation attention tasks. Subjects performed four tactile att...

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Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 26; no. 1; pp. 3 - 10
Main Authors:	Yao, Lin, Chen, Mei Lin, Sheng, Xinjun, Mrachacz-Kersting, Natalie, Zhu, Xiangyang, Farina, Dario, Jiang, Ning
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2018
Subjects:	Algorithms Attention - physiology Brain-computer interfaces Brain-Computer Interfaces - classification Discrimination (Psychology) Electroencephalography Equipment Design Evoked Potentials, Somatosensory Female Hand - innervation Healthy Volunteers Humans Indexes Male Reproducibility of Results selective sensation somatosensory attention stimulus-induced oscillatory dynamics Tactile BCI Time-frequency analysis Touch - physiology Vibrations Visualization Wrist Young Adult
ISSN:	1534-4320, 1558-0210, 1558-0210
Online Access:	Get full text
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