EEG-based neonatal seizure detection with Support Vector Machines
نویسندگان
چکیده
منابع مشابه
EEG-based neonatal seizure detection with Support Vector Machines
OBJECTIVE The study presents a multi-channel patient-independent neonatal seizure detection system based on the Support Vector Machine (SVM) classifier. METHODS A machine learning algorithm (SVM) is used as a classifier to discriminate between seizure and non-seizure EEG epochs. Two post-processing steps are proposed to increase both the temporal precision and the robustness of the system. Th...
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On Neonatal Intensive Care Units (NICU) many vital parameters are recorded but monitoring of brain function by Electroencephalography (EEG) is rare, mainly because signal interpretation requires expert visual inspection. In 1-6 % of newborns on the NICU (sub clinical) seizures occur and even more frequent in prematures and lowbirth weight children [1]. Failure of detection and subsequent lack o...
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ژورنال
عنوان ژورنال: Clinical Neurophysiology
سال: 2011
ISSN: 1388-2457
DOI: 10.1016/j.clinph.2010.06.034