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Linear and non-linear measures of the human neonatal EEG
- 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]
- Subjects :
- *ELECTROENCEPHALOGRAPHY
*NEWBORN infants
Subjects
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