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A computer method for identifying patterns in electroencephalogram signals.

C J Michel
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Abstract

A computer method is developed for identifying patterns in electroencephalogram (EEG) signals. An EEG numerical signal is transformed into a symbolic series. The simple transformation used here studies the variations between two successive values of the signal. Then, this series is analysed with a symbolic correlation function based on probabilities without bias. The use of large windows, e.g. 1 hour, allows the identification of weak signals hidden by the specific ones. An application of this method to the sleep analysis of a healthy adult shows a periodicity modulo 10 in all derivations. A possible neurophysiological meaning is presented in the discussion.

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AlgorithmsAudiometry, Evoked ResponseBrainDiagnosis, Computer-AssistedHumansModels, NeurologicalModels, StatisticalPattern Recognition, AutomatedPeriodicitySleepJournal Article

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BibTeXRIS

C J Michel. A computer method for identifying patterns in electroencephalogram signals.. https://doi.org/10.1080/0309190031000097323

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