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http://dx.doi.org/10.9718/JBER.2010.31.5.359

Steady-State Visual Evoked Potential (SSVEP)-based Rehabilitation Training System with Functional Electrical Stimulation  

Sohn, R.H. (Dept of Biomed. Eng., Graduate School, Yonsei Univ. Institute of Medical Eng., Yonsei Univ.)
Son, J. (Dept of Biomed. Eng., Graduate School, Yonsei Univ. Institute of Medical Eng., Yonsei Univ.)
Hwang, H.J. (Dept of Biomed. Eng., Graduate School, Yonsei Univ. Institute of Medical Eng., Yonsei Univ.)
Im, C.H. (Dept of Biomed. Eng., Graduate School, Yonsei Univ. Institute of Medical Eng., Yonsei Univ.)
Kim, Y.H. (Dept of Biomed. Eng., Graduate School, Yonsei Univ. Institute of Medical Eng., Yonsei Univ.)
Publication Information
Journal of Biomedical Engineering Research / v.31, no.5, 2010 , pp. 359-364 More about this Journal
Abstract
The purpose of the brain-computer (machine) interface (BCI or BMI) is to provide a method for people with damaged sensory and motor functions to use their brain to control artificial devices and restore lost ability via the devices. Functional electrical stimulation (FES) is a method of applying low level electrical currents to the body to restore or to improve motor function. The purpose of this study was to develop a SSVEP-based BCI rehabilitation training system with FES for spinal cord injured individuals. Six electrodes were attached on the subjects' scalp ($PO_Z$, $PO_3$, $PO_4$, $O_z$, $O_1$ and $O_2$) according to the extended international 10-20 system, and reference electrodes placed at A1 and A2. EEG signals were recorded at the sampling rate of 256Hz with 10-bit resolution using a BIOPAC system. Fast Fourier transform(FFT) based spectrum estimation method was applied to control the rehabilitation system. FES control signals were digitized and transferred from PC to the microcontroller using Bluetooth communication. This study showed that a rehabilitation training system based on BCI technique could make successfully muscle movements, inducing electrical stimulation of forearm muscles in healthy volunteers.
Keywords
Brain-computer(machine) interface (BCI or BMI); Steady-state visual evoked potential (SSVEP); Functional electrical stimulation (FES);
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