Title :
Stationarity of the EEG series
Author :
Blanco, S. ; Garcia, H. ; Quiroga, R.Q. ; Romanelli, L. ; Rosso, O.A.
Author_Institution :
Nat. Res. Council, Argentina
Abstract :
The authors introduce a routine for the analysis of stationarity, which is based on the weak stationarity criteria. From the application of the weak stationarity criteria, one see that only in some cases or in some epochs of a series will the information obtained from these algorithms be reliable. Therefore, one can only obtain dynamic information in those cases. As a complement to this finding, the correlation dimension and the Lyapunov exponents were calculated for the different EEG series analyzed
Keywords :
Lyapunov methods; electroencephalography; medical signal processing; time series; EEG series stationarity analysis; Lyapunov exponents; algorithms; correlation dimension; dynamic information; series epochs; weak stationarity criteria; Brain; Degradation; Electroencephalography; Embedded computing; Entropy; Frequency; Low pass filters; Nonlinear dynamical systems; Pathology; Time measurement;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
