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Developing of EEG Print and Its Preliminary Technical Application
Author(s) -
Takigawa Morikuni,
Fukuzako Hiroshi,
Ueyama Kenichi,
Takeuchi Kouzou,
Fukuzako Tsuyoshi,
Nomaguchi Mitsuo
Publication year - 1994
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.1440-1819.1994.tb03002.x
Subject(s) - electroencephalography , impulse (physics) , computer science , eeg fmri , audiology , frequency band , artificial intelligence , pattern recognition (psychology) , psychology , speech recognition , neuroscience , medicine , physics , telecommunications , bandwidth (computing) , quantum mechanics
In this report, we discuss a method called “EEG print” to represent EEG contrast mapping in time and frequency domains simultaneously. A bank of bandpass FIR (Finite Impulse Response) digital filters is used to obtain EEG prints. EEG prints were taken from four areas (F 3 , F 4 , O 1 and O 2 ) of EEG when healthy subjects were at rest with their eyes closed. The pattern of the prints was classified into four types: α type, β type, α+β type and complex type. It was found that EEG prints may vary from person‐to‐person but they usually do not vary much between the four areas for a given person. The method is further modified to obtain “differential EEG prints” to investigate whether meaningful higher frequency EEG components exist. Differentiation of EEG resulted in marked intensification of the fast waves, using 0.14 Hz as the critical point. In differential EEG print with higher order differentiation, amplification in the high frequency components increase their frequency. As a result, it is possible to observe variations in the high frequency components, which are otherwise not detectable in the usual EEG print. EEG print can be used for representing the function of the brain. Using the method for classification of EEG print patterns, described in this paper, we can clarify not only the characteristics of the normal brain but also the pathophysiology of mentally‐ill patients.