Monitoring and Diagnosing Neonatal Seizures by Video Signal Processing
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,Published
2014-06-07
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Copyright (c) 2014 Guy Mathurin Kouamou Ntonfo
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.