TY - JOUR
T1 - Fractal dimensions of short EEG time series in humans
AU - Preißl, Hubert
AU - Lutzenberger, Werner
AU - Pulvermüller, Friedemann
AU - Birbaumer, Niels
PY - 1997/4/4
Y1 - 1997/4/4
N2 - Fractal dimension has been proposed as a useful measure for the characterisation of electrophysiological time series. But one of the problems of this approach, is the difficulty to record time series long enough to determine the 'real' fractal dimension. Nevertheless it is possible to calculate fractal dimensions for very short data-segments. Using time series of different length it is possible to show, that there is a monotoneous relation between fractal dimension and the number of data-points. This relation could be further interpreted with the help of an extrapolation scheme. In addition this effect is also seen with surrogate data, generated from that signal. We conclude that it is feasible to use fractal dimension as a tool to characterise the complexity for short electroencephalographic (EEG) time series, but it is not possible to decide whether the brain is a chaotic system or not.
AB - Fractal dimension has been proposed as a useful measure for the characterisation of electrophysiological time series. But one of the problems of this approach, is the difficulty to record time series long enough to determine the 'real' fractal dimension. Nevertheless it is possible to calculate fractal dimensions for very short data-segments. Using time series of different length it is possible to show, that there is a monotoneous relation between fractal dimension and the number of data-points. This relation could be further interpreted with the help of an extrapolation scheme. In addition this effect is also seen with surrogate data, generated from that signal. We conclude that it is feasible to use fractal dimension as a tool to characterise the complexity for short electroencephalographic (EEG) time series, but it is not possible to decide whether the brain is a chaotic system or not.
KW - Chaos
KW - Dimension
KW - Electroencephalogram
KW - Non-linearity
KW - Surrogate data
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U2 - 10.1016/S0304-3940(97)00192-4
DO - 10.1016/S0304-3940(97)00192-4
M3 - Article
C2 - 9147378
AN - SCOPUS:0031552375
VL - 225
SP - 77
EP - 80
JO - Neuroscience Letters
JF - Neuroscience Letters
SN - 0304-3940
IS - 2
ER -