Abstract
We begin with a basic introduction to the electroencephalogram and discuss some of the EEG’s clinical uses. Next we introduce a practical application of dimensional analysis to the EEG by asking the question: How does the “dimension” of the EEG change with general anesthesia? Finally we discuss major problems associated with dimensional analysis of the EEG.
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The patient was a 45 year old female. No premedication was prior to surgery. Anesthesia was induced by inhalation of fluroxene. The EEG record lasts for 15 minutes: 5 min. awake but quiet, 5 min. light anesthesia, and 5 min. medium anesthesia. Analog data from the EEG was digitalized at 500 Hz.
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One might argue that “attractors” which look similar over a scaling factor of ≈2 are not really self-similar. Since we are operating in 20-dimensional space, a scaling factor of ≈2 is rather large and denotes similarity.
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© 1986 Springer-Verlag Berlin Heidelberg
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Layne, S.P., Mayer-Kress, G., Holzfuss, J. (1986). Problems Associated with Dimensional Analysis of Electroencephalogram Data. In: Mayer-Kress, G. (eds) Dimensions and Entropies in Chaotic Systems. Springer Series in Synergetics, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-71001-8_29
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DOI: https://doi.org/10.1007/978-3-642-71001-8_29
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