Evaluation of a syntactic pattern recognition approach to quantitative electroencephalographic analysis

Bourne, J.R.; Jagannathan, V.; Hamel, Baruch; Jansen, Ben H.; Ward, James W.; Hughes, Jane; Erwin, C. W.

doi:10.1016/0013-4694(81)90189-9

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Cited by 12 publications

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“…Prob lems with adaptive segmentation include the classifica tion of the segments found and the treatment of the string of labels obtained by this classification, especially in multichannel EEG. For the first task, cluster-analytic methods have been proposed [Creutzfeldt et al, 1985], and for the second, syntactic pattern recognition may be used [Bourne et al, 1981;Baas and Bourne, 1984;Fer ber, 1985Fer ber, , 1986],…”

Section: Examplementioning

confidence: 99%

Treatment of Some Nonstationarities in the EEG

Ferber¹

1987

Neuropsychobiology

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In many situations, EEG recordings cannot be assumed to be second-order stationary. The definition of stationarity is reviewed and the implications of the nonstationarity of the EEG are investigated. Some methods to overcome the problem caused by the nonstationarity are discussed. They include measures of variability, condensed time series and segmentation. The discussion is restricted to FFT spectral estimators and broad-band parameters derived thereof.

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Section: Examplementioning

confidence: 99%