Time frequency analysis for automated sleep stage identification in fullterm and preterm neonates

Journal of Medical Systems

Volumn 35, Issue 4, 2011, Pages 693-702

  Fraiwan, Luay ^a   Lweesy, Khaldon ^a   Khasawneh, Natheer ^a   Fraiwan, Mohammad ^a   Wenz, Heinrich ^b   Dickhaus, Hartmut ^b  

^a JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Automatic sleep scoring; CWT; HHS; Neural networks; WVD

Indexed keywords

ALPHA RHYTHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED SLEEP STAGE IDENTIFICATION; BETA RHYTHM; DELTA RHYTHM; ELECTROENCEPHALOGRAM; ENTROPY; FREQUENCY ANALYSIS; HUMAN; NEWBORN; PREMATURITY; REM SLEEP; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SLEEP SPINDLE; SLEEP TIME; THETA RHYTHM;

ELECTROENCEPHALOGRAPHY; HUMANS; INFANT, NEWBORN; INFANT, PREMATURE; MONITORING, PHYSIOLOGIC; NEURAL NETWORKS (COMPUTER); SLEEP STAGES; WAVELET ANALYSIS;

EID: 79961173644     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-009-9406-2     Document Type: Article

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