Linear and non-linear measures of human neonatal EEG

K. Hecox*, S. Nayak, K. Gin, A. McGee, W. van Drongelen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Non-linear measures (Kolmogorov entropy, correlation dimension and a surrogate based "z" 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.

Original languageEnglish (US)
Pages (from-to)779-786
Number of pages8
JournalNeurocomputing
Volume52-54
DOIs
StatePublished - Jun 2003
Externally publishedYes

Keywords

  • Human neonatal EEG
  • Kolmogoroc entropy
  • Linear measures
  • Non-linear measures

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Linear and non-linear measures of human neonatal EEG'. Together they form a unique fingerprint.

Cite this