Automated identification of abnormal cardiotocograms using neural network visualization techniques

Annual International Conference of the IEEE Engineering in Medicine and Biology-Proceedings

Volumn 2, Issue , 2001, Pages 1629-1632

  Cazares, S ^a   Tarassenko, L ^a   Impey, L ^b   Moulden, M ^b   Redman, C W G ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b JOHN RADCLIFFE HOSPITAL   (United Kingdom)

Author keywords

Cardiotocogram; Fetal heart rate; Fetal monitoring; Neuroscale; Sammon map; Visualization

Indexed keywords

EID: 33746261899     PISSN: 05891019     EISSN: None     Source Type: Journal    
DOI: 10.1109/IEMBS.2001.1020526     Document Type: Article

References (0)