A wavelet-statistical features approach for nonconvulsive seizure detection

Clinical EEG and Neuroscience

Volumn 45, Issue 4, 2014, Pages 274-284

  Sharma, Priyanka ^a   Khan, Yusuf Uzzaman ^a   Farooq, Omar ^a   Tripathi, Manjari ^b   Adeli, Hojjat ^c  

^a ALIGARH MUSLIM UNIVERSITY   (India)

^b ALL INDIA INSTITUTE OF MEDICAL SCIENCES   (India)

^c Ohio State University   (United States)

Author keywords

cubical thresholding; dispersion measures; nonconvulsive seizure detection; wavelet denoising

Indexed keywords

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; FOURIER TRANSFORMATION; HUMAN; NONCONVULSIVE SEIZURE; SEIZURE; SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS; ALGORITHM; BRAIN; PATHOPHYSIOLOGY; PROCEDURES; SEIZURES; SIGNAL PROCESSING;

ALGORITHMS; BRAIN; ELECTROENCEPHALOGRAPHY; HUMANS; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84910087202     PISSN: 15500594     EISSN: 21695202     Source Type: Journal    
DOI: 10.1177/1550059414535465     Document Type: Article

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