Georgieva A.Payne S.J.Redman C.W.G.STEPHEN JOHN PAYNE2022-05-242022-05-242009https://www.scopus.com/inward/record.uri?eid=2-s2.0-77249157247&doi=10.1007%2fs11517-009-0538-9&partnerID=40&md5=6d4162abcb699e8f1fcd8817a40254a8https://scholars.lib.ntu.edu.tw/handle/123456789/611836The foetal heart rate (FHR) response to uterine contractions is crucial to detect foetal distress by electronic FHR monitoring during labour. We are developing a new automatedsystem (OxSys) for decision support in labour, using the Oxford database of intrapartum FHR records. We describe here a novel technique for automated detection of uterus contractions. In addition, we present a comparison of the new method with four other computerised approaches. During training, OxSys achieved sensitivity above 95% and positive predictive value (PPV) of up to 90% for traces of good quality. During testing, OxSys achieved sensitivity = 87% and PPV = 75%. For comparison, a second clinical expert obtained sensitivity = 93% and PPV = 80%, and all other computerised approaches achieved lower values. It was concluded that the proposed method can be employed with confidence in our study on foetal health assessment in labour and future OxSys development. ? International Federation forMedical and Biological Engineering 2009.Automated detectionClinical decision supportComputerised approachesDecision supportsHealth assessmentsHeart ratesHeart-rate monitoringNovel techniquesPositive predictive valuesDecision support systemsFetal monitoringHealthalgorithmarticlecardiotocographydecision support systemevaluationfemalefetus distresshumanmethodologyphysiologypredictive valuepregnancysensitivity and specificitysignal processinguterus contractionAlgorithmsCardiotocographyDecision Support TechniquesFemaleFetal DistressHumansPredictive Value of TestsPregnancySensitivity and SpecificitySignal Processing, Computer-AssistedUterine Contraction[SDGs]SDG3[SDGs]SDG8journal article10.1007/s11517-009-0538-92-s2.0-77249157247