Literature DB >> 17347753

Comparison between fetal heart rate standard parameters and complexity indexes for the identification of severe intrauterine growth restriction.

M Ferrario1, M G Signorini, G Magenes.   

Abstract

OBJECTIVES: The intrauterine growth restriction (IUGR) is a pathological state: the fetus is at risk of hypoxia and this condition is associated with increased perinatal morbidity and mortality. However, evidence-based guidelines for clinical surveillance are poor and lack reliable indexes. This study introduces new procedures to extract parameters from the fetal heart rate signal in order to identify severe intrauterine growth restricted (IUGR) fetuses
METHODS: Standard parameters (time domain and frequency domain indexes) are compared to a new parameter, the Lempel Ziv complexity, and to two regularity estimators (approximate entropy and sample entropy). The paper analyzes the robustness of the indexes coming from the parameter extraction procedure. RESULTS AND
CONCLUSIONS: The results show that the LZ complexity is a stable parameter and it is able to significantly discriminate the severe IUGR (preterm delivered) from moderate IUGR (at term delivered) and from healthy fetuses.

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Year:  2007        PMID: 17347753

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  10 in total

Review 1.  Monitoring fetal maturation-objectives, techniques and indices of autonomic function.

Authors:  Dirk Hoyer; Jan Żebrowski; Dirk Cysarz; Hernâni Gonçalves; Adelina Pytlik; Célia Amorim-Costa; João Bernardes; Diogo Ayres-de-Campos; Otto W Witte; Ekkehard Schleußner; Lisa Stroux; Christopher Redman; Antoniya Georgieva; Stephen Payne; Gari Clifford; Maria G Signorini; Giovanni Magenes; Fernando Andreotti; Hagen Malberg; Sebastian Zaunseder; Igor Lakhno; Uwe Schneider
Journal:  Physiol Meas       Date:  2017-02-10       Impact factor: 2.833

Review 2.  Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring.

Authors:  Faezeh Marzbanrad; Lisa Stroux; Gari D Clifford
Journal:  Physiol Meas       Date:  2018-08-14       Impact factor: 2.833

3.  Doppler-based fetal heart rate analysis markers for the detection of early intrauterine growth restriction.

Authors:  Lisa Stroux; Christopher W Redman; Antoniya Georgieva; Stephen J Payne; Gari D Clifford
Journal:  Acta Obstet Gynecol Scand       Date:  2017-09-27       Impact factor: 3.636

4.  Complexity analysis of the fetal heart rate variability: early identification of severe intrauterine growth-restricted fetuses.

Authors:  Manuela Ferrario; Maria G Signorini; Giovanni Magenes
Journal:  Med Biol Eng Comput       Date:  2009-06-13       Impact factor: 2.602

5.  Study of Heart Rate Variability in Bipolar Disorder: Linear and Non-Linear Parameters during Sleep.

Authors:  Matteo Migliorini; Martin O Mendez; Anna M Bianchi
Journal:  Front Neuroeng       Date:  2012-01-10

6.  Fetal functional brain age assessed from universal developmental indices obtained from neuro-vegetative activity patterns.

Authors:  Dirk Hoyer; Florian Tetschke; Susan Jaekel; Samuel Nowack; Otto W Witte; Ekkehard Schleußner; Uwe Schneider
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

7.  Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technology.

Authors:  Maria G Signorini; Andrea Fanelli; Giovanni Magenes
Journal:  Comput Math Methods Med       Date:  2014-01-30       Impact factor: 2.238

8.  Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review.

Authors:  Maria Ribeiro; João Monteiro-Santos; Luísa Castro; Luís Antunes; Cristina Costa-Santos; Andreia Teixeira; Teresa S Henriques
Journal:  Front Med (Lausanne)       Date:  2021-11-30

9.  A deep learning mixed-data type approach for the classification of FHR signals.

Authors:  Edoardo Spairani; Beniamino Daniele; Maria Gabriella Signorini; Giovanni Magenes
Journal:  Front Bioeng Biotechnol       Date:  2022-08-08

Review 10.  Measures of cardiovascular autonomic activity in insomnia disorder: A systematic review.

Authors:  Marina-Marinela Nano; Pedro Fonseca; Rik Vullings; Ronald M Aarts
Journal:  PLoS One       Date:  2017-10-23       Impact factor: 3.240

  10 in total

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