Predictive Value on Neurological Outcome of Early EEG Signal Analysis in Brain Injured Patients
Electrophysiological examinations constitute objective and accurate measures of cerebral function. They can be recorded at bedside, which is of major value in intensive care units. The objective of the present study considers the linear and non-linear analysis of resting electroencephalography (EEG) signals as predictors for poor outcome and differences between brain regions. We studied 24 brain injured patients (trauma, cerebral anoxia, intracranial haemorrhage, cerebral infections) and 12 healthy controls and compared their EEG power spectra, the zero crossing and fractal dimension splitting the brain in four regions: left hemisphere, right hemisphere, anterior cortex, posterior cortex. In this study early linear and non-linear parameters showed the ability to predict recovery of communicative skills in brain injured patients at 6 months.
KeywordsComa EEG Power spectrum Zero crossing Fractal dimension
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