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Classification Procedures in Connection with Biological Signals: Computerized Recognition of Persons by EEG Spectral Patterns

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Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 16))

Abstract

The intra-individual stability of EEG and its characteristic variability are well-known phenomena of EEG analysis and the object of several studies (1), (2), (3), (4), (5). The aim of our investigations was to formalize the stability concept and to decompose the original EEG signal in a static part (representing the organic components) and a dynamic part (representing the reactive components).

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References

  1. Berkhout, J and Walter, DO. Temporal stability and individual differences in the human EEG: an analysis of variance of spectral values. IEEE Trans, biomed. Engng, 1968, BME 15: 165–168

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© 1982 Springer-Verlag Berlin Heidelberg

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Stassen, H.H., Günter, R., Bomben, G. (1982). Classification Procedures in Connection with Biological Signals: Computerized Recognition of Persons by EEG Spectral Patterns. In: O’Moore, R.R., Barber, B., Reichertz, P.L., Roger, F. (eds) Medical Informatics Europe 82. Lecture Notes in Medical Informatics, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93201-4_47

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  • DOI: https://doi.org/10.1007/978-3-642-93201-4_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11208-2

  • Online ISBN: 978-3-642-93201-4

  • eBook Packages: Springer Book Archive

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