Summary
An overview of different methods of automatic EEG analysis is presented from the clinical point of view. Correlation analysis and coherence functions have somewhat limited value because they assume “normality” or Gaussian distribution of the signals under consideration. Since the curves are more complex the “Average Amount of Mutual Information” (AAMI) technique may become more important in future investigations. Automatic EEG analysis lends itself well to the study of epileptic phenomena especially in terms of seizure origin and subsequent spread of discharges.
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Wieser, H.G. (1984). Automatic Analysis of Electrocerebral Activity. In: Gybels, J., Hitchcock, E.R., Ostertag, C., Rossi, G.F., Siegfried, J., Szikla, G. (eds) Advances in Stereotactic and Functional Neurosurgery 6. Acta Neurochirurgica, vol 33. Springer, Vienna. https://doi.org/10.1007/978-3-7091-8726-5_3
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DOI: https://doi.org/10.1007/978-3-7091-8726-5_3
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