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生物物理学报 2003
HIGHER ORDER SINGULAR SPECTRUM ANALYSIS OF EEG
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Abstract:
Singular spectrum analysis (SSA) is a novel way to analyse EEG, which can reflect the features of EEG and is helpful to study the dynamic behavior of human brain. SSA method is based on two order statistic, what the method reflects is the linear correlation on spacetime of signals. EEG is a kind of nonlinear signal, however, the intrinsic nonlinear correlations are difficult to reflect by SSA, so, some useful information will be lost. A novel SSA method is proposed, which is used for analysing EEG of normal subjects and epileptic subjects by a large number samples. The results of computer experiment show that the singular spectra of normal subjects are significantly different from epileptic subjects. More-over, the singular spectra based on higher order statistic is better for reflecting the details about EEG than singular spectra based on two order statistic.