Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses

Medical and Biological Engineering and Computing

Volumn 44, Issue 3, 2006, Pages 179-187

  Frank, Birgit ^a   Pompe, B ^b   Schneider, U ^a   Hoyer, D ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^b UNIVERSITY OF GREIFSWALD   (Germany)

Author keywords

Biomagnetic recording; Fetal behavioural states; Heart rate variability; Kullback Leibler entropy; Permutation entropy

Indexed keywords

COMPUTATIONAL COMPLEXITY; ENTROPY; ESTIMATION;

BIOMAGNETIC RECORDING; FETAL BEHAVIOURAL STATES; HEART RATE VARIABILITY; KULLBACK-LEIBLER ENTROPY; PERMUTATION ENTROPY;

BIOMEDICAL ENGINEERING;

ARTICLE; AUTONOMIC NERVOUS SYSTEM; BODY MOVEMENT; CARDIOVASCULAR PARAMETERS; DISCRIMINANT ANALYSIS; ENTROPY; FETUS; FETUS HEART RATE; FETUS MONITORING; FETUS MOVEMENT; GESTATIONAL AGE; HEART RATE VARIABILITY; HUMAN; MAGNETOCARDIOGRAPHY; STATISTICAL SIGNIFICANCE;

CARDIOTOCOGRAPHY; DATA INTERPRETATION, STATISTICAL; ENTROPY; FETAL DEVELOPMENT; FETUS; GESTATIONAL AGE; HEART RATE, FETAL; HUMANS; MAGNETICS;

EID: 33745473438     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-005-0015-z     Document Type: Article

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