Monitoring and Diagnosing Neonatal Seizures by Video Signal Processing

Guy Mathurin Kouamou Ntonfo

Abstract

In this thesis we consider the use of well-known statistical methods to early diagnose, through wire-free low-cost video processing, the potential presence of seizures. For this purpose several approaches, have been proposed: periodicity-based, classification-based and clustering-based approaches.

Keywords

Newborn; EEG; Clonic, Myoclonic, subtle seizures; Motion, Tracking, Video Analysis; Image Analysis and Processing; Image and Video Processing; Feature Analysis; Classification and Clustering;

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