Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Steady-State Visual Evoked Potential (SSVEP)-based Rehabilitation Training System with Functional Electrical Stimulation

안정상태 시각유발전위 기반의 기능적 전기자극 재활훈련 시스템

  • 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.)
  • 손량희 (연세대학교 대학원 의공학과, 연세의료공학연구원) ;
  • 손종상 (연세대학교 대학원 의공학과, 연세의료공학연구원) ;
  • 황한정 (연세대학교 대학원 의공학과, 연세의료공학연구원) ;
  • 임창환 (연세대학교 대학원 의공학과, 연세의료공학연구원) ;
  • 김영호 (연세대학교 대학원 의공학과, 연세의료공학연구원)
  • Received : 2010.03.22
  • Accepted : 2010.10.13
  • Published : 2010.10.31
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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.

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References

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