ROBUST NEONATAL EEG SEIZURE DETECTION THROUGH ADAPTIVE BACKGROUND MODELING
نویسندگان
چکیده
منابع مشابه
Interobserver agreement for neonatal seizure detection using multichannel EEG
OBJECTIVE To determine the interobserver agreement (IOA) of neonatal seizure detection using the gold standard of conventional, multichannel EEG. METHODS A cohort of full-term neonates at risk of acute encephalopathy was included in this prospective study. The EEG recordings of these neonates were independently reviewed for seizures by three international experts. The IOA was estimated using ...
متن کاملEEG-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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D ysfunction in the central nervous system of the neonate is often rst identi ed through seizures. The di culty in detecting clinical seizures, which involves the observation of physical manifestations characteristic to newborn seizure, has placed greater emphasis on the detection of newborn electroencephalographic (EEG) seizure. The high incidence of newborn seizure has resulted in considerabl...
متن کاملImproved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time and dynamic nature of these systems prevents the use of a batch EM algorithm. Currently, online learning of mixture models on dynamic data is achieved using an adaptive filter coupled with reassignment rules. However, c...
متن کاملPerformance assessment for EEG-based neonatal seizure detectors
OBJECTIVE This study discusses an appropriate framework to measure system performance for the task of neonatal seizure detection using EEG. The framework is used to present an extended overview of a multi-channel patient-independent neonatal seizure detection system based on the Support Vector Machine (SVM) classifier. METHODS The appropriate framework for performance assessment of neonatal s...
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ژورنال
عنوان ژورنال: International Journal of Neural Systems
سال: 2013
ISSN: 0129-0657,1793-6462
DOI: 10.1142/s0129065713500184