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Software for computerised analysis of cardiotocographic traces (406 visite) (PDF privato 119 visite)

Romano M, Bifulco P, Ruffo M, Improta G, Clemente F, Cesarelli M

Comput Methods Programs Biomed (ISSN: 1872-7565electronic, 0169-2607linking), 2016 Feb; 124: 121-137.

Tipo di articolo: Journal Article,

Impact factor: 2.503

Impact factor a 5 anni: 2.199

Parole chiave: Computerised Cardiotocography, Fhr Clinical Analysis, Foetal Heart Rate Variability, Matlab, Nonlinear Indices, Software Performance, Fetal Monitoring, Software Testing, Software Reliability, Computer Program, Deceleration, Diagnostic Test Accuracy Study, Doctor Patient Relation, Fetus Heart Rate, Human, Human Experiment, Muscle Contractility, Obstetrician, Predictive Value,

Url: https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84954541179&partnerID=40&md5=5fa676a6ae81b9e9a693b758092d5558

Despite the widespread use of cardiotocography in foetal monitoring, the evaluation of foetal status suffers from a considerable inter and intra-observer variability. In order to overcome the main limitations of visual cardiotocographic assessment, computerised methods to analyse cardiotocographic recordings have been recently developed. In this study, a new software for automated analysis of foetal heart rate is presented. It allows an automatic procedure for measuring the most relevant parameters derivable from cardiotocographic traces. Simulated and real cardiotocographic traces were analysed to test software reliability. In artificial traces, we simulated a set number of events (accelerations, decelerations and contractions) to be recognised. In the case of real signals, instead, results of the computerised analysis were compared with the visual assessment performed by 18 expert clinicians and three performance indexes were computed to gain information about performances of the proposed software. The software showed preliminary performance we judged satisfactory in that the results matched completely the requirements, as proved by tests on artificial signals in which all simulated events were detected from the software. Performance indexes computed in comparison with obstetricians' evaluations are, on the contrary, not so satisfactory; in fact they led to obtain the following values of the statistical parameters: sensitivity equal to 93%, positive predictive value equal to 82% and accuracy equal to 77%. Very probably this arises from the high variability of trace annotation carried out by clinicians. © 2015 Elsevier Ireland Ltd.
*** IBB - CNR ***

DMSC, University "Magna Graecia", Catanzaro, Italy., DIETI, University of Naples, "Federico II", Naples, Italy., IBB, Italian National Research Council, Rome, Italy., DIETI, University of Naples, "Federico II", Naples, Italy. Electronic address: cesarell@unina.it.,

DMSC, University Magna Graecia, Catanzaro, Italy
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2 Records (2 escludendo Abstract e Conferenze).
Impact factor totale: 5.232 (5.232 escludendo Abstract e Conferenze).
Impact factor a 5 anni totale: 3.246 (3.246 escludendo Abstract e Conferenze).

Interrogazione bibliografica effettuata: (([btitle] "Computerised Cardiotocography" OR [btitle] "Fhr Clinical Analysis" OR [btitle] "Foetal Heart Rate Variability" OR [btitle] "Nonlinear Indices" OR [btitle] "Software Performance") AND NOT [id] = 53148)

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