In this paper, the envelope detection of α-rhythm for the quantitative analysis of EEG signals using homomorphic system is tried. To eliminate power line noise and baseline drift noise included EEG signals, digital filters are designed. Envelope was...
In this paper, the envelope detection of α-rhythm for the quantitative analysis of EEG signals using homomorphic system is tried. To eliminate power line noise and baseline drift noise included EEG signals, digital filters are designed. Envelope was exactly extracted using homomorphic processing algorithm in α-rhythm. Because this algorithm simple processing in comparison with complex demodulation method and Hilbert transformation method, computation is remarkably reduced. Therefore, this algorithm can be executed the real time, which make it possible to monitoring longterm data. And, although frequency change of neural oscillation signal, it makes possible an exact envelope detection. However, homomorphic processing algorithm bring about leakage of information in envelope detection of low-frequency signals.