| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4335086 | Journal of Neuroscience Methods | 2012 | 11 Pages |
Abstract
⺠DFA is often used to estimate the scaling exponent of neurophysiological signals. ⺠We extend DFA to characterise potentially changing scaling exponents. ⺠We validate the method using surrogate data with time-varying scaling exponents. ⺠We systematically examine the dependence of the method on its free parameters. ⺠We demonstrate the applicability of the method to neurophysiological signals.
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Neuroscience
Neuroscience (General)
Authors
Luc Berthouze, Simon F. Farmer,