Time-varying statistical dimension analysis with application to newborn scalp EEG seizure signals

Medical Engineering and Physics

Volumn 24, Issue 1, 2002, Pages 1-8

  Celka, P ^a   Colditz, P ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Adaptive principal component analysis; Complexity measure; EEG seizure; Model selection; Newborn; Time series analysis

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; ELECTROENCEPHALOGRAPHY;

ADAPTIVE AUTOCOVARIANCE EIGENSPECTRUM COMPUTATION;

TIME SERIES ANALYSIS;

ALGORITHM; ARTICLE; BRAIN; CONTROLLED STUDY; ELECTRODE; ELECTROENCEPHALOGRAM; HUMAN; INFORMATION PROCESSING; NEWBORN; NON INVASIVE MEASUREMENT; PARAMETER; PRIORITY JOURNAL; SCALP; SEIZURE; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS;

ALGORITHMS; BRAIN; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; INFANT, NEWBORN; MODELS, STATISTICAL; NERVE NET; SEIZURES; TIME FACTORS;

EID: 0036118956     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4533(01)00119-9     Document Type: Article

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