Classification of normal and hypoxic fetuses from systems modeling of intrapartum cardiotocography

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 4, 2010, Pages 771-779

  Warrick, Philip A ^a   Hamilton, Emily F ^a,b   Precup, Doina ^a   Kearney, Robert E ^a  

^a MCGILL UNIVERSITY   (Canada)

^b INSTITUTE FOR RESEARCH IN IMMUNOLOGY AND CANCER   (Canada)

Author keywords

Biosignal interpretation and diagnostic systems; Biosignal modeling; Linear and nonlinear dynamical models; Signal and image processing

Indexed keywords

CLASSIFIERS; DETECTORS; IMAGE PROCESSING; IMAGING SYSTEMS; IMPULSE RESPONSE; SPECTRAL DENSITY; STRUCTURAL ANALYSIS;

BIOSIGNAL INTERPRETATION; BIOSIGNALS; DIAGNOSTIC SYSTEMS; NONLINEAR DYNAMICAL MODELS; SIGNAL AND IMAGE PROCESSING;

SIGNAL DETECTION;

ARTICLE; CARDIOTOCOGRAPHY; CLASSIFICATION; FALSE POSITIVE RESULT; FETUS; FETUS HEART RATE; FETUS HYPOXIA; HUMAN; INTRAPARTUM CARE; INTRAUTERINE PRESSURE; PREGNANCY; ALGORITHM; BIOLOGICAL MODEL; FACTUAL DATABASE; FEMALE; FETAL HYPOXIA; FETUS MONITORING; METABOLISM; OBSTETRIC LABOR COMPLICATIONS; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SIGNAL PROCESSING;

ALGORITHMS; CARDIOTOCOGRAPHY; DATABASES, FACTUAL; FEMALE; FETAL HYPOXIA; FETUS; HUMANS; MODELS, BIOLOGICAL; OBSTETRIC LABOR COMPLICATIONS; PREGNANCY; REGRESSION ANALYSIS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; UTERINE MONITORING;

EID: 77950227226     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2035818     Document Type: Article

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