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Biomedical subjects

K Fukata

Publications and source records attributed to K Fukata.

3 recordsLinked to original sources

On some EEG patterns in children and adults.

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, (2) Hz alpha wave, (3) low frequency alpha and theta wave, (4) 10 Hz alpha wave and theta wave and (5) irregular wave patterns, while two more types, (6) the low pass and (7) theta wave types, were observed in the central regions. These same types were also observed in the EEGs of 41 adults (20--25 years of age). The amount of difference between the above five and seven types in children and adults were obtained by the generalized (Mahalanobis') distances. In the occipital regions, the percentage frequency of the alpha wave type was the highest followed by that of the alpha and theta wave type, while the frequency of the alpha and theta waves type was the highest in the central regions, followed, next and third in order by the low pass type and the alpha type, respectively.

Adult

On some methods for EEG pattern discrimination.

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.

Adult

Component activities in the autoregressive activity of physiological systems.

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 coincide with the nonoscillatory delta component. The frequency distribution of the natural, damped and resonance frequencies of the second-order activities was found to show one, two or three modes in each frequency range of the delta, theta and beta rhythms in ninety normal adult EEGs. Hence, the second-order activities agree with the oscillatory delta, theta, alpha and beta rhythms. Some changes were induced not only in the frequency of theta and beta rhythms but also in that of alpha rhythm by over-breathing for about three minutes.

Electroencephalography