Literature DB >> 33419319

Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records.

Franc Jager1, Ksenija Geršak2,3, Paula Vouk1, Žiga Pirnar1, Andreja Trojner-Bregar2,3, Miha Lučovnik2,3, Ana Borovac1.   

Abstract

The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upper and lower, left and right), the conduction velocities and their directions were estimated using preterm and term EHG records of the publicly available Term-Preterm EHG DataSet with Tocogram (TPEHGT DS) and for different frequency bands below and above 1.0 Hz, where contractions and the influence of the maternal heart rate on the uterus, respectively, are expected. No significant or preferred continuous direction of propagation was found in any of the non-contraction (dummy) or contraction intervals; however, on average, a significantly lower percentage of velocity vectors was found in the vertical direction, and significantly higher in the horizontal direction, for preterm dummy intervals above 1.0 Hz. The newly defined features-the percentages of velocities in the vertical and horizontal directions, in combination with the sample entropy of the EHG signal recorded in the vertical direction, obtained from dummy intervals above 1.0 Hz-showed the highest classification accuracy of 86.8% (AUC=90.3%) in distinguishing between preterm and term EHG records of the TPEHGT DS.

Entities:  

Keywords:  conduction velocity; conduction velocity directionality; contraction intervals; dummy intervals; electrohysterogram; preterm birth prediction; propagation of EHG waves; short-time cross-correlation

Mesh:

Year:  2020        PMID: 33419319      PMCID: PMC7766070          DOI: 10.3390/s20247328

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  34 in total

1.  Noninvasive estimation of the electrohysterographic action-potential conduction velocity.

Authors:  Chiara Rabotti; Massimo Mischi; S Guid Oei; Jan W M Bergmans
Journal:  IEEE Trans Biomed Eng       Date:  2010-05-10       Impact factor: 4.538

2.  On the propagation analysis of electrohysterographic signals.

Authors:  Chiara Rabotti; Massimo Mischi; Judith van Laar; Guid Oei; Jan Bergmans
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

3.  A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups.

Authors:  G Fele-Zorz; G Kavsek; Z Novak-Antolic; F Jager
Journal:  Med Biol Eng Comput       Date:  2008-04-24       Impact factor: 2.602

4.  A multichannel time-frequency and multi-wavelet toolbox for uterine electromyography processing and visualisation.

Authors:  Arnaldo G Batista; Shirin Najdi; Daniela M Godinho; Catarina Martins; Fátima C Serrano; Manuel D Ortigueira; Raul T Rato
Journal:  Comput Biol Med       Date:  2016-07-09       Impact factor: 4.589

Review 5.  Electrohysterography in the diagnosis of preterm birth: a review.

Authors:  J Garcia-Casado; Y Ye-Lin; G Prats-Boluda; J Mas-Cabo; J Alberola-Rubio; A Perales
Journal:  Physiol Meas       Date:  2018-02-26       Impact factor: 2.833

6.  Dedicated Entropy Measures for Early Assessment of Pregnancy Progression From Single-Channel Electrohysterography.

Authors:  Massimo Mischi; Chuan Chen; Tanya Ignatenko; Hinke de Lau; Beijing Ding; S G Guid Oei; Chiara Rabotti
Journal:  IEEE Trans Biomed Eng       Date:  2017-07-11       Impact factor: 4.538

7.  Non-invasive transabdominal uterine electromyography correlates with the strength of intrauterine pressure and is predictive of labor and delivery.

Authors:  H Maul; W L Maner; G Olson; G R Saade; R E Garfield
Journal:  J Matern Fetal Neonatal Med       Date:  2004-05

8.  Improved Prediction of Preterm Delivery Using Empirical Mode Decomposition Analysis of Uterine Electromyography Signals.

Authors:  Peng Ren; Shuxia Yao; Jingxuan Li; Pedro A Valdes-Sosa; Keith M Kendrick
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

9.  Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: a preliminary study.

Authors:  Hinke de Lau; Chiara Rabotti; Rianne Bijloo; Michael Johannes Rooijakkers; Massimo Mischi; S Guid Oei
Journal:  Comput Math Methods Med       Date:  2013-12-29       Impact factor: 2.238

10.  Characterization and automatic classification of preterm and term uterine records.

Authors:  Franc Jager; Sonja Libenšek; Ksenija Geršak
Journal:  PLoS One       Date:  2018-08-28       Impact factor: 3.240

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  2 in total

1.  Assessment of Features between Multichannel Electrohysterogram for Differentiation of Labors.

Authors:  Yajun Zhang; Dongmei Hao; Lin Yang; Xiya Zhou; Yiyao Ye-Lin; Yimin Yang
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

2.  Prediction of Preterm Delivery from Unbalanced EHG Database.

Authors:  Somayeh Mohammadi Far; Matin Beiramvand; Mohammad Shahbakhti; Piotr Augustyniak
Journal:  Sensors (Basel)       Date:  2022-02-15       Impact factor: 3.576

  2 in total

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