Parameters of stochastic models for electroencephalogram data as biomarkers for child’s neurodevelopment after cerebral malaria
Abstract The objective of this study was to test statistical features from the electroencephalogram (EEG) recordings as predictors of neurodevelopment and cognition of Ugandan children after coma due to cerebral malaria. The increments of the frequency bands of EEG time series were modeled as Studen...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-12-01
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Series: | Journal of Statistical Distributions and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40488-018-0086-7 |