Software for computerised analysis of cardiotocographic traces (877 views) (PDF restricted 267 views)
Comput Meth Prog Bio (ISSN: 0169-2607), 2016 Feb; 124: 121-137.
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Paper type: Journal Article,
Impact factor: 2.503, 5-year impact factor: 2.199
Url: https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84954541179&partnerID=40&md5=5fa676a6ae81b9e9a693b758092d5558
Keywords: 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,
Affiliations:
*** 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
References:
Not available.
Comput Meth Prog Bio (ISSN: 0169-2607), 2016 Feb; 124: 121-137.
Export to BibTeX Export to EndNote
Paper type: Journal Article,
Impact factor: 2.503, 5-year impact factor: 2.199
Url: https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84954541179&partnerID=40&md5=5fa676a6ae81b9e9a693b758092d5558
Keywords: 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,
Affiliations:
*** 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
References:
Not available.
Software for computerised analysis of cardiotocographic traces
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.
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.
Software for computerised analysis of cardiotocographic traces
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Software for computerised analysis of cardiotocographic traces
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RomanoM, Faiella G, Clemente F, Iuppariello L, Bifulco P, Cesarelli M
* Analysis of Foetal Heart Rate Variability Components by Means of Empirical Mode Decomposition (278 views)
Ifmbe Proceedings, 2016 Sep; 57: 71-74.
Impact Factor: 1.757
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Maestri R, Pinna G, Accardo A, Allegrini P, Balocchi R, D'ADDIO G, Ferrario M, Menicucci D, Porta A, Sassi R
* Nonlinear indices of heart rate variability in chronic heart failure patients: Redundancy and comparative clinical value (508 views)
J Cardiovasc Electrophysiol (ISSN: 1045-3873), 2007; 18(4): 425-433.
Impact Factor: 3.475
View Export to BibTeX Export to EndNote
* Analysis of Foetal Heart Rate Variability Components by Means of Empirical Mode Decomposition (278 views)
Ifmbe Proceedings, 2016 Sep; 57: 71-74.
Impact Factor: 1.757
View Export to BibTeX Export to EndNote
Maestri R, Pinna G, Accardo A, Allegrini P, Balocchi R, D'ADDIO G, Ferrario M, Menicucci D, Porta A, Sassi R
* Nonlinear indices of heart rate variability in chronic heart failure patients: Redundancy and comparative clinical value (508 views)
J Cardiovasc Electrophysiol (ISSN: 1045-3873), 2007; 18(4): 425-433.
Impact Factor: 3.475
View Export to BibTeX Export to EndNote
2 Records (2 excluding Abstracts).
Total impact factor: 5.232 (5.232 excluding Abstracts).
Total 5 year impact factor: 3.246 (3.246 excluding Abstracts).
Total impact factor: 5.232 (5.232 excluding Abstracts).
Total 5 year impact factor: 3.246 (3.246 excluding Abstracts).
877 views. Last view on Saturday 30 November 2024, 23:20:11
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