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ON THE BASIS OF NEW STOCHASTICAL APPROACH FOR QAULIFICATION AND QUANTIFICATION OF EHG DATA. *
Author(s) -
Satô Kensuke
Publication year - 1952
Publication title -
psychiatry and clinical neurosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.609
H-Index - 74
eISSN - 1440-1819
pISSN - 1323-1316
DOI - 10.1111/j.1440-1819.1952.tb00591.x
Subject(s) - intensity (physics) , amplitude , sample (material) , mathematics , alpha (finance) , line (geometry) , physics , combinatorics , statistics , optics , geometry , internal consistency , thermodynamics , psychometrics
Summary 1. Sample mean intensity (XN) in successive N alpha waves is similar to the product of sample number of alpha component (ηN/2) and sample mean intensity of an alpha component (2rϕ/N) in the same N alpha waves, i. e. (7.6) X̄ n =η N σ2/N 2. In many human EEG data under a relaxed state, the points (η N σ2/N) form a rectangular hyperbola and the points (logη N , logσ2/N) form a straight line with a gradient of fourty five degrees, because of the very small fluctuation of sample mean intensity Xn. 3. Above results are obtained not only in alpha rhythms, but also in theta rhythms. 4. Herewith an important possibility arises in sofar that in the characterisica of the above straight line or band some biological meaning, apart from the resultant from sample mean amplitude or sample mean intensity of brain waves is strongly suggested.

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