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

Journal of Neuroscience Methods

Volumn 210, Issue 2, 2012, Pages 132-146

  Song, Yuedong ^a   Crowcroft, Jon ^a   Zhang, Jiaxiang ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b MRC COGNITION AND BRAIN SCIENCES UNIT   (United Kingdom)

Author keywords

Electroencephalogram (EEG); Epileptic seizure detection; Extreme learning machine (ELM); Optimized sample entropy (O SampEn)

Indexed keywords

ARTICLE; AUTOMATION; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAM; ENTROPY; EPILEPSY; HUMAN; MACHINE LEARNING; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SEIZURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; BRAIN MAPPING; BRAIN WAVES; ELECTROENCEPHALOGRAPHY; ENTROPY; EPILEPSY; HUMANS;

EID: 84865313417     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2012.07.003     Document Type: Article

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