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Andreea M Pavel, Janet M Rennie, Linda S de Vries, Mats Blennow, Adrienne Foran, Divyen K Shah, Ronit M Pressler, Olga Kapellou,Eugene M Dempsey, Sean R Mathieson, Elena Pavlidis, Alexander C van Huffelen, Vicki Livingstone, Mona C Toet, Lauren C Weeke, Mikael Finder, Subhabrata Mitra, Deirdre M Murray, William P Marnane, Geraldine B Boylan
Background
Despite the availability of continuous conventional electroencephalography (cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice. Algorithms for decision support in the recognition of neonatal seizures could improve detection. We aimed to assess the diagnostic accuracy of an automated seizure detection algorithm called Algorithm for Neonatal Seizure Recognition (ANSeR).
