Hybrid EEG-fNIRS Based BCI for Rehabilitation

YuanLu Zhu; Pengcheng Li

doi:10.1364/PIBM.2017.W3A.134

International Conference on Photonics and Imaging in Biology and Medicine
(Optica Publishing Group, 2017),
paper W3A.134
•https://doi.org/10.1364/PIBM.2017.W3A.134

Hybrid EEG-fNIRS Based BCI for Rehabilitation

YuanLu Zhu and Pengcheng Li

International Conference on Photonics and Imaging in Biology and Medicine 2017

Suzhou China
26–28 September 2017
ISBN: 978-1-943580-35-4

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Y. Zhu and P. Li, "Hybrid EEG-fNIRS Based BCI for Rehabilitation," in International Conference on Photonics and Imaging in Biology and Medicine, (Optica Publishing Group, 2017), paper W3A.134.

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Abstract

We aim at design a motor-magery based brain-computer interface(BCI) using functional near-infrared spectroscopy(fNIRS) and electroencephalography(EEG) for rehabilitation.We use the common spatial pattern(CSP) to extract features which are then classified with the support vector machine(SVM).

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