Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine

► We propose a novel optimized sample entropy algorithm for epileptic seizure detection. ► Sample entropy with high statistical significance represents the characteristics of epileptic EEGs. ► Optimal parameters of sample entropy are found for epileptic EEG signal analysis. ► A sample entropy-extrem...

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Veröffentlicht in:	Journal of neuroscience methods 2012-09, Vol.210 (2), p.132-146
Hauptverfasser:	Song, Yuedong, Crowcroft, Jon, Zhang, Jiaxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Automatic Data Processing - methods Brain Mapping Brain Waves - physiology Electroencephalogram (EEG) Electroencephalography - instrumentation Electroencephalography - methods Entropy Epilepsy - diagnosis Epilepsy - physiopathology Epileptic seizure detection Extreme learning machine (ELM) Humans Optimized sample entropy (O-SampEn)
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