Use of the fractal dimension for the analysis of electroencephalographic time series

@article{Accardo1997UseOT,
  title={Use of the fractal dimension for the analysis of electroencephalographic time series},
  author={P. Agostino Accardo and M. Affinito and M. Carrozzi and F. Bouquet},
  journal={Biological Cybernetics},
  year={1997},
  volume={77},
  pages={339-350}
}
Abstract. Electroencephalogram (EEG) traces corresponding to different physiopathological conditions can be characterized by their fractal dimension, which is a measure of the signal complexity. Generally this dimension is evaluated in the phase space by means of the attractor dimension or other correlated parameters. Nevertheless, to obtain reliable values, long duration intervals are needed and consequently only long-term events can be analysed; also much calculation time is required. To… CONTINUE READING
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