Abstract
A selforganized map was designed to learn and detect sleep stages will be described. Initial the input data were preprocessed with Difference Power Spectra (DPS (german: DLS)). The associative fields of the Kohonen map are directly transformed by frequency spectra. Interference phenomena are probably indicating the influence of biosignals with a source in the reticular system of a human brain.
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© 1997 Springer-Verlag Berlin Heidelberg
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Berger, A., Möller, D.P.F., Reuter, M. (1997). Detection of sleep with new preprocessing methods for EEG analysing. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_123
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DOI: https://doi.org/10.1007/3-540-62868-1_123
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