A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity

Medical Engineering and Physics

Volumn 34, Issue 4, 2012, Pages 437-446

  Stevenson, N J ^a   O'Toole, J M ^b   Rankine, L J ^a,d   Boylan, G B ^a   Boashash, B ^c,e  

^a UNIVERSITY COLLEGE CORK   (Ireland)

^b UNIVERSITY OF DEUSTO   (Spain)

^c QATAR UNIVERSITY   (Qatar)

^d Future Assist Financial Services   (Australia)

^e UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Fourier transform; Matched filter; Neonatal EEG; Neonate; Nonstationary; Seizure detection; Time frequency distributions; Time frequency signal processing

Indexed keywords

NEONATAL EEG; NEONATE; NONSTATIONARY; SEIZURE DETECTION; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY SIGNAL PROCESSING;

ALGORITHMS; FOURIER TRANSFORMS; MATCHED FILTERS; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL PROCESSING;

PEDIATRICS;

ALGORITHM; ALTERNATIVE TIME FREQUENCY DISTRIBUTION; ANALYTICAL PARAMETERS; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE DURATION; ELECTROENCEPHALOGRAPHY; HUMAN; NERVOUS SYSTEM ELECTROPHYSIOLOGY; NEWBORN; NONPARAMETRIC TEST; NONSTATIONARY FREQUENCY MARGINAL; PERIODICITY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SEIZURE; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; HUMANS; INFANT, NEWBORN; PERIODICITY; SEIZURES; STATISTICS, NONPARAMETRIC; TIME FACTORS;

EID: 84857837713     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2011.08.001     Document Type: Article

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