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Egg Drop Challenge Results

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Preview of Automated Neonatal Seizure Detection: Improved Accuracy and Reduced False Alarms
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Automated Neonatal Seizure Detection: Improved Accuracy and Reduced False Alarms (Postprocessing v7 Edited.pdf)

738 KBAmir Hossein Ansari, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Perumpillichira Joseph CherianEN 4 pages
Automated seizure detection in neonatal EEG improves with a new feature—mean phase coherence—and supports vector machine post-processing, reducing false alarms and aiding clinical decision-making in NICUs.

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automated neonatal seizure detection false alarms improved accuracy reduced improves feature phase coherence supports vector machine processing reducing aiding clinical decision making nicus

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