Detection of Interictal Epileptiform Discharges Using Signal Envelope Distribution Modelling: Application to Epileptic and Non-Epileptic Intracranial Recordings

Brain Topography

Volumn 28, Issue 1, 2015, Pages 172-183

  Janca, Radek ^a   Jezdik, Petr ^a   Cmejla, Roman ^a   Tomasek, Martin ^b   Worrell, Gregory A ^c   Stead, Matt ^c   Wagenaar, Joost ^d   Jefferys, John G R ^f,g   Krsek, Pavel ^b   Komarek, Vladimir ^b   Jiruska, Premysl ^b,e   Marusic, Petr ^b  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b UNIVERSITY HOSPITAL MOTOL   (Czech Republic)

^c MAYO CLINIC   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

^e INSTITUTE OF PHYSIOLOGY   (Czech Republic)

^f UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^g UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Automatic detection; Hilbert transform; Interictal epileptiform discharges; Intracranial recording; Principal component analysis; Spike detection

Indexed keywords

ADOLESCENT; ADULT; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BRAIN; CHILD; CHRONIC PAIN; ELECTRODE IMPLANT; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACIAL PAIN; FEMALE; HUMAN; LABORATORY DIAGNOSIS; MALE; PATHOPHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; BRAIN; CHILD; CHRONIC PAIN; ELECTRODES, IMPLANTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACIAL PAIN; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 84937676887     PISSN: 08960267     EISSN: 15736792     Source Type: Journal    
DOI: 10.1007/s10548-014-0379-1     Document Type: Article

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