Literature DB >> 26638805

Software for computerised analysis of cardiotocographic traces.

M Romano1, P Bifulco2, M Ruffo2, G Improta2, F Clemente3, M Cesarelli4.   

Abstract

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.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Computerised cardiotocography; FHR clinical analysis; Foetal heart rate variability; Matlab; Nonlinear indices; Software performance

Mesh:

Year:  2015        PMID: 26638805     DOI: 10.1016/j.cmpb.2015.10.008

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

1.  Is Abdominal Fetal Electrocardiography an Alternative to Doppler Ultrasound for FHR Variability Evaluation?

Authors:  Janusz Jezewski; Janusz Wrobel; Adam Matonia; Krzysztof Horoba; Radek Martinek; Tomasz Kupka; Michal Jezewski
Journal:  Front Physiol       Date:  2017-05-16       Impact factor: 4.566

2.  Fetal cardiac examination can affect patients' preference on invasive tests: A new data on maternal anxiety indicated karyotyping.

Authors:  Emre Ekmekci; Servet Gencdal; Emine Demirel; Sefa Kelekci
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

3.  New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal.

Authors:  Tomasz Kupka; Adam Matonia; Michal Jezewski; Janusz Jezewski; Krzysztof Horoba; Janusz Wrobel; Robert Czabanski; Radek Martinek
Journal:  Sensors (Basel)       Date:  2020-07-22       Impact factor: 3.576

4.  A systematic review of automated pre-processing, feature extraction and classification of cardiotocography.

Authors:  Shahad Al-Yousif; Ariep Jaenul; Wisam Al-Dayyeni; Ah Alamoodi; Ihab Jabori; Nooritawati Md Tahir; Ali Amer Ahmed Alrawi; Zafer Cömert; Nael A Al-Shareefi; Abbadullah H Saleh
Journal:  PeerJ Comput Sci       Date:  2021-04-27

5.  A data-driven health index for neonatal morbidities.

Authors:  Davide De Francesco; Yair J Blumenfeld; Ivana Marić; Jonathan A Mayo; Alan L Chang; Ramin Fallahzadeh; Thanaphong Phongpreecha; Alex J Butwick; Maria Xenochristou; Ciaran S Phibbs; Neda H Bidoki; Martin Becker; Anthony Culos; Camilo Espinosa; Qun Liu; Karl G Sylvester; Brice Gaudilliere; Martin S Angst; David K Stevenson; Gary M Shaw; Nima Aghaeepour
Journal:  iScience       Date:  2022-03-22

Review 6.  Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey.

Authors:  Maria Romano; Luigi Iuppariello; Alfonso Maria Ponsiglione; Giovanni Improta; Paolo Bifulco; Mario Cesarelli
Journal:  Comput Math Methods Med       Date:  2016-04-18       Impact factor: 2.238

7.  Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients.

Authors:  Giovanni Improta; Valeria Mazzella; Donatella Vecchione; Stefania Santini; Maria Triassi
Journal:  J Eval Clin Pract       Date:  2019-11-12       Impact factor: 2.431

8.  Multiparametric Investigation of Dynamics in Fetal Heart Rate Signals.

Authors:  Alfonso Maria Ponsiglione; Francesco Amato; Maria Romano
Journal:  Bioengineering (Basel)       Date:  2021-12-28
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.