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- W3176251134 abstract "Segments of neonatal surface EEG recordings were subjected to analysis using linear and non-linear time series methods. Non-linear measures showed significant age dependencies, while changes in linear metrics were less striking. The largest and most consistent changes were in Kolmogorov entropy. Age dependent changes were also noted in the effect of sleep/wake transition on the non-linear measures. These non-linear metrics also showed a difference as a function of anatomic location (frontal, temporal, and occipital). It is concluded that non-linear metrics of neonatal EEG can be reliably obtained and are potentially informative of underlying developmental changes." @default.
- W3176251134 created "2021-07-05" @default.
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- W3176251134 date "2002-02-01" @default.
- W3176251134 modified "2023-09-23" @default.
- W3176251134 title "Application of Linear and Non-Linear Time Series Analysis to Neonatal EEG Activity" @default.
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