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Linear and non-linear measures of the human neonatal EEG

Authors :
Hecox, K.
Nayak, S.
Gin, K.
McGee, A.
van Drongelen, W.
Source :
Neurocomputing. Jun2003, Vol. 52-54, p779. 8p.
Publication Year :
2003

Abstract

Non-linear measures (Kolmogorov entropy, correlation dimension and a surrogate based “<f>z</f>” score) of the underlying structure of the human neonatal EEG were made and compared to linear measures (eigenvalues) and to EEGs obtained from older children (greater than 3 years of age). Strong age-dependent differences were noted for Kolmogorov entropy, the surrogate-based measure of non-linearity and eigenvalues. The eigenvalues decrease with age and the Kolmogorov entropy increases with age. The measure of global non-linearity decreased with age so that it was positive in only a small fraction of the greater than 3-year-old subjects. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09252312
Volume :
52-54
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
9900057
Full Text :
https://doi.org/10.1016/S0925-2312(02)00774-9