| Summary: | 碩士 === 國立成功大學 === 電機工程學系碩博士班 === 99 === The brain-computer interface (BCI), which facilitates communication between human and a machine, can use noninvasive or invasive methods to record electroencephalogram (EEG) signals. The BCI transforms a user’s EEG signals into commands that can be utilized to control a computer or other devices. The EEG signals can be distinguished by their frequencies and characteristics, namely, the α, β, θ, δ and μ rhythms. The EEG activity in the μ (8-12 Hz) frequency bands decreases in amplitude during real or imagined movement, such as imagined movement of the right hand, left hand, or foot. Discriminating between two brain states, such as that associated with imagined right-hand movement and that associated with a relaxed brain, can correspond to the on and off states of a light-emitting diode (LED). This can be used for real-time control with BCI. This work analyzes the characteristic values of EEG by power spectrum method using a self-developed signal analysis system based on a digital signal processor (DSP). The research results can be used to help paralyzed people.
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