Toward a Personalized Real-Time Diagnosis in Neonatal Seizure Detection

The problem of creating a personalized seizure detection algorithm for newborns is tackled in this paper. A probabilistic framework for semi-supervised adaptation of a generic patient-independent neonatal seizure detector is proposed. A system that is based on a combination of patient-adaptive (gene...

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Bibliographic Details
Main Authors: Andriy Temko, Achintya Kr. Sarkar, Geraldine B. Boylan, Sean Mathieson, William P. Marnane, Gordon Lightbody
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8031337/