The higher-order autoregressive (AR) activity of a physiological system (Sato 1975a,b; Sato et al., 1977) was decomposed into first- and second-order activities. The former time-pattern displays a fast rise and an exponential decay, while the latter exhibits a damped sine wave. Application of this component analysis to EEG showed the first-order activity to… (More)
A statistical approach to evaluate evoked potentials (EPs), consisting of three stages in procedure, was proposed with an application to study on postictal changes of visually evoked potentials (VEPs). At the first step, time series data of EPs were reduced by the means of using an autoregressive (AR) model. In this way, EPs were described in terms of AR… (More)
Two methods of statistical inference for EEG pattern discrimination are described with examples of their application. One concerns whether an arbitrary EEG pattern belongs to a standard EEG group or not, and the other concerns whether a group of EEG belongs to the standard EEG group.
The EEGs of 76 children (6--9 years of age) were classified into five types for the occipital regions (O1 and O2) and into seven types for the central regions (C3 and C4) by the method of EEG pattern discrimination (Sato, Ono et al., 1977). The five types of EEG patterns observed in the occipital regions were: (1) low frequency alpha wave of about 8--9 Hz,… (More)