Wavelet analysis and neural networks for intrapartum fetal monitoring. Can we long for a new technique? Is it doable?

Medical Science Monitor

Volumn 14, Issue 1, 2008, Pages

  Chrelias, Charalambos ^a   Siristatidis, Charalambos ^a   Kassanos, Dimitrios ^a  

^a UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CARDIOTOCOGRAPHY; DELIVERY; FETUS HEART RATE; FETUS MONITORING; HUMAN; LETTER; MEDICAL RESEARCH; MORBIDITY; MORTALITY; SENSITIVITY AND SPECIFICITY;

CARDIOTOCOGRAPHY; FEMALE; FETAL HYPOXIA; FETAL MONITORING; HEART RATE, FETAL; HUMANS; NEURAL NETWORKS (COMPUTER); OXYGEN; PREGNANCY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 38149079882     PISSN: 12341010     EISSN: 16433750     Source Type: Journal    
DOI: None     Document Type: Letter

References (4)

1. Papik K, Molnar B, Schaefer R et al: Application of neural networks in medicine - a review. Med Sci Monit, 1998; 4(3): MT538-46
2. Alfirevic Z, Devane D, Gyte GM. Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour. Cochrane Database Syst Rev, 2006; 19:3: CD006066
3. Salamalekis E, Siristatidis C, Vasios G et al: Fetal pulse oximetry and wavelet analysis of the fetal heart rate in the evaluation of abnormal cardiotocography tracings. J Obstet Gynaecol Res, 2006; 32: 135-39
4. Salamalekis E, Thomopoulos P, Giannaris D et al: Computerised intrapartum diagnosis of fetal hypoxia based on fetal heart rate monitoring and fetal pulse oximetry recordings utilising wavelet analysis and neural networks. BJOG, 2002; 109: 1137-42