Detecting bursts in the EEG of very and extremely premature infants using a multi-feature approach

Highlights • Machine learning approach enables accurate detection of bursts in preterm EEG.• Features of amplitude and spectral shape capture discriminating information.• Improves reliability of estimates of inter-burst intervals.

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