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Background: For newborn infants in critical care, continuous monitoring ofbrain function can help identify infants at-risk of brain injury. Quantitativefeatures allow a consistent and reproducible approach to EEG analysis, but onlywhen all implementation aspects are clearly defined.  Methods: We detail quantitative features frequently used in neonatal EEGanalysis and present a Matlab software package together with exactimplementation details for all features. The feature set includes stationaryfeatures that capture amplitude and frequency characteristics and features ofinter-hemispheric connectivity. The software, a Neonatal Eeg featURe set inmAtLab (NEURAL), is open source and freely available. The software alsoincludes a pre-processing stage with a basic artefact removal procedure.  Conclusions: NEURAL provides a common platform for quantitative analysis ofneonatal EEG. This will support reproducible research and enable comparisonsacross independent studies. These features present summary measures of the EEGthat can also be used in automated methods to determine brain development andhealth of the newborn in critical care.

NEURAL: quantitative features for newborn EEG using Matlab