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

Milan Palu\v S

Working Papers from Santa Fe Institute

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.

Date: 1994-10
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