Literature DB >> 21096643

Two-dimensional estimation of the electrohysterographic conduction velocity.

Chiara Rabotti1, Massimo Mischi.   

Abstract

Propagation of action potentials (APs) through an adequate number of uterine muscle cells induces contraction of the uterus. Monitoring uterine contractions, as the first sign of labor, can provide important information on the course of pregnancy and delivery. Unfortunately, current monitoring methods are affected by serious limitations. The electrohysterogram (EHG), which is the noninvasive recording of the APs propagating through the uterine smooth muscle cells, is here analyzed as a potential alternative to current methods. We focus on estimating the conduction velocity (CV) of surface APs extracted from an EHG recorded in a multielectrode configuration. In this work, a two-dimensional, 64-channel, high density electrode grid is used. Maximum likelihood methods are employed for analyzing the EHG AP propagation in two dimensions. The use of different weighting strategies of the derived cost function is introduced to deal with poor interchannel signal similarity. The presented methods were evaluated by specific simulations proving the best weighting strategy to lead to an accuracy improvement of 58%. EHG measurements on women with uterine contractions confirmed the feasibility of the method by leading to values of conduction velocity within the expected physiological range.

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Year:  2010        PMID: 21096643     DOI: 10.1109/IEMBS.2010.5627172

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

1.  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

2.  Biomathematical pattern of EMG signal propagation in smooth muscle of the non-pregnant porcine uterus.

Authors:  Malgorzata Domino; Bartosz Pawlinski; Zdzislaw Gajewski
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

3.  Automatic identification of motion artifacts in EHG recording for robust analysis of uterine contractions.

Authors:  Yiyao Ye-Lin; Javier Garcia-Casado; Gema Prats-Boluda; José Alberola-Rubio; Alfredo Perales
Journal:  Comput Math Methods Med       Date:  2014-01-09       Impact factor: 2.238

4.  Uterine EMG activity in the non-pregnant sow during estrous cycle.

Authors:  Malgorzata Domino; Bartosz Pawlinski; Magdalena Gajewska; Tomasz Jasinski; Maria Sady; Zdzislaw Gajewski
Journal:  BMC Vet Res       Date:  2018-06-05       Impact factor: 2.741

5.  Propagation of spontaneous electrical activity in the ex vivo human uterus.

Authors:  Nienke P M Kuijsters; Federica Sammali; Xin Ye; Celine Blank; Lin Xu; Massimo Mischi; Benedictus C Schoot; Chiara Rabotti
Journal:  Pflugers Arch       Date:  2020-07-20       Impact factor: 3.657

  5 in total

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