Literature DB >> 18576938

Omniview-SisPorto 3.5 - a central fetal monitoring station with online alerts based on computerized cardiotocogram+ST event analysis.

Diogo Ayres-de-Campos1, Paulo Sousa, Antonia Costa, Joao Bernardes.   

Abstract

Visual analysis of cardiotocograms is poorly reproducible and is currently recognized as the main weakness of the STAN methodology. The Omniview-SisPorto 3.5 program is the most recent version of a central monitoring system that provides visual and sound alerts, based on computer analysis of cardiotocographic and ST event features. This paper describes the program's main characteristics and provides an overview of the system's online alerts. Omniview-SisPorto 3.5 is the first central monitoring system to incorporate computerized analysis of cardiotocographic and ST event features, providing health professionals with online alerts for minor and major changes in monitored signals. The system is currently undergoing extensive clinical evaluation.

Mesh：

Year:  2008        PMID： 18576938     DOI： 10.1515/JPM.2008.030

Source DB:  PubMed          Journal:  J Perinat Med        ISSN： 0300-5577            Impact factor:   1.901


  10 in total

1.  Toward the improvement in fetal monitoring during labor with the inclusion of maternal heart rate analysis.

Authors:  Hernâni Gonçalves; Paula Pinto; Manuela Silva; Diogo Ayres-de-Campos; João Bernardes
Journal:  Med Biol Eng Comput       Date:  2015-07-29       Impact factor: 2.602

2.  Comparison of real beat-to-beat signals with commercially available 4 Hz sampling on the evaluation of foetal heart rate variability.

Authors:  Hernâni Gonçalves; Antónia Costa; Diogo Ayres-de-Campos; Cristina Costa-Santos; Ana Paula Rocha; João Bernardes
Journal:  Med Biol Eng Comput       Date:  2013-01-24       Impact factor: 2.602

3.  Remembrance of time series past: simple chromatic method for visualizing trends in biomedical signals.

Authors:  Anton Burykin; Sara Mariani; Teresa Henriques; Tiago F Silva; William T Schnettler; Madalena D Costa; Ary L Goldberger
Journal:  Physiol Meas       Date:  2015-05-27       Impact factor: 2.833

4.  Complexity-loss in fetal heart rate dynamics during labor as a potential biomarker of acidemia.

Authors:  Madalena D Costa; William T Schnettler; Célia Amorim-Costa; João Bernardes; Antónia Costa; Ary L Goldberger; Diogo Ayres-de-Campos
Journal:  Early Hum Dev       Date:  2013-11-28       Impact factor: 2.079

Review 5.  Open access intrapartum CTG database.

Authors:  Václav Chudáček; Jiří Spilka; Miroslav Burša; Petr Janků; Lukáš Hruban; Michal Huptych; Lenka Lhotská
Journal:  BMC Pregnancy Childbirth       Date:  2014-01-13       Impact factor: 3.007

6.  Comparison of a novel computerized analysis program and visual interpretation of cardiotocography.

Authors:  Chen-Yu Chen; Chun Yu; Chia-Chen Chang; Chii-Wann Lin
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

7.  Investigating pH based evaluation of fetal heart rate (FHR) recordings.

Authors:  George Georgoulas; Petros Karvelis; Jiří Spilka; Václav Chudáček; Chrysostomos D Stylios; Lenka Lhotská
Journal:  Health Technol (Berl)       Date:  2017-07-04

8.  Complexity of Cardiotocographic Signals as A Predictor of Labor.

Authors:  João Monteiro-Santos; Teresa Henriques; Inês Nunes; Célia Amorim-Costa; João Bernardes; Cristina Costa-Santos
Journal:  Entropy (Basel)       Date:  2020-01-16       Impact factor: 2.524

9.  A randomised clinical trial of intrapartum fetal monitoring with computer analysis and alerts versus previously available monitoring.

Authors:  Diogo Ayres-de-Campos; Austin Ugwumadu; Philip Banfield; Pauline Lynch; Pina Amin; David Horwell; Antonia Costa; Cristina Santos; João Bernardes; Karl Rosen
Journal:  BMC Pregnancy Childbirth       Date:  2010-10-28       Impact factor: 3.007

10.  Improvements in fetal heart rate analysis by the removal of maternal-fetal heart rate ambiguities.

Authors:  Paula Pinto; Cristina Costa-Santos; Hernâni Gonçalves; Diogo Ayres-De-Campos; João Bernardes
Journal:  BMC Pregnancy Childbirth       Date:  2015-11-19       Impact factor: 3.007
  10 in total

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