1994
DOI: 10.1016/s0950-3552(05)80200-7
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4 Development, evaluation and validation of an intelligent system for the management of labour

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Cited by 35 publications
(25 citation statements)
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“…Computer analysis of CTGs was introduced in the 1980s [9,17,21,24] in an attempt to overcome the subjectivity of visual analysis [3,29] . The fi rst systems were developed for antepartum monitoring, where increased baseline stability, lower signal loss and artefacts and reduced tracing length pose less challenges for signal processing and algorithm development.…”
Section: Discussionmentioning
confidence: 99%
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“…Computer analysis of CTGs was introduced in the 1980s [9,17,21,24] in an attempt to overcome the subjectivity of visual analysis [3,29] . The fi rst systems were developed for antepartum monitoring, where increased baseline stability, lower signal loss and artefacts and reduced tracing length pose less challenges for signal processing and algorithm development.…”
Section: Discussionmentioning
confidence: 99%
“…This system was developed at the University of Plymouth by the Perinatal Research Group [24] . It allows the display of several CTG tracings and ST data on the same computer screen, visible in multiple locations.…”
Section: Guardian Tm and Infant ® (K2 Medical Systems Tm Plymouth Uk)mentioning
confidence: 99%
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“…Three studies conducted by the Plymouth group [35][36][37] demonstrated that the software, when used 'offline', performed as well as expert obstetricians in interpreting the CTG and managing labour subsequently, and that the system performed better than routine clinical practice. The system identified more cases that went on to have a poor outcome and anticipated clinical decision-making.…”
Section: Studies Using the Intelligent Support Softwarementioning
confidence: 99%
“…[35][36][37] However, the alerts do not take into account other information about the labour, such as the duration of labour, the rate of labour progress, presence of meconium, whether or not the woman has an elevated temperature and whether or not there is suspected fetal growth restriction, all of which may modify the way a clinician interprets the fetal heart rate and acts on this information. Further development of decision support software to include these variables may improve the quality of the feedback the system provides to clinicians and therefore may make a positive difference to outcomes.…”
Section: Value Of This Researchmentioning
confidence: 99%