Wavelet transform for on-off switching BCI device
This paper introduces a new kind of EEG-based Brain-Computer Interface Device (NEU BCI-II) that permits a person to switch on and off electrical appliance based on wavelet decomposition.The device was developed due to the increases of the alpha component amplitude of EEG spectrum when people close their eyes.The device detects the EEG difference between opening eyes and closing,which makes the electrical appliance be on or off.The system adopts wavelet decomposition to separate the different alpha activity conditions.In NEU BCI-II Device,LabVIEW software and embedded MATLAB scripts are used to analyze EEG signal online.Compared with other spectrum method,wavelet method shows its merits in suppressing noise and improving reliability.
Electroencephalograph(EEG) Brain-Computer Interface(BCI) Wavelet Transform Eye Closure
C.S.Li H.Wang
Northeastern University,Shenyang,China
国际会议
7th Asian-Pacific Conference on Medical and Biological Engineering(第七届亚太地区生物工程学术会议)
北京
英文
2008-04-22（万方平台首次上网日期，不代表论文的发表时间）