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Nonlinearity in Normal Human EEG: Cycles and Randomness, Not Chaos

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  • Milan Paluv s

Abstract

Two-hour vigilance and sleep EEG recordings from five healthy volunteers were analyzed using a method for identifying nonlinearity and chaos, which combines the redundancy---linear redundancy approach with the surrogate data technique. A nonlinear component in the EEG was detected, however, inconsistent with the hypothesis of low-dimensional chaos. An explanation using a process that merges nonlinear deterministic oscillations with randomness is proposed. Taking these results into consideration, the use of dimensional and related chaos-based algorithms in quantitative EEG ananlysis is critically discussed.

Suggested Citation

  • Milan Paluv s, 1994. "Nonlinearity in Normal Human EEG: Cycles and Randomness, Not Chaos," Working Papers 94-10-054, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:94-10-054
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