An intrauterine pressure generator for educational simulation of labour and delivery

Bastos, L.; Lobo, Mariana; Meurs, Willem L. van; Ayres-de-Campos, Diogo

doi:10.1016/j.medengphy.2010.04.015

Cited by 19 publications

(17 citation statements)

References 27 publications

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“…Simulators allow for practice of normal and critical situations at will and at no risk to real patients. Several models for educational simulation of labor and delivery were published in the literature [1–3] and incorporated into a commercially available training simulator [4]. The cited models make amplitude, frequency, duration, and resting tone of the uterine pressure waveform evolve spontaneously and under the influence of oxytocin and tocolytics.…”

Section: Introductionmentioning

confidence: 99%

An empirical model for educational simulation of cervical dilation in first-stage labor

et al. 2018

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BackgroundSeveral models for educational simulation of labor and delivery were published in the literature and incorporated into a commercially available training simulator (CAE Healthcare Lucina). However, the engine of this simulator does not include a model for the clinically relevant indicators: uterine contraction amplitude and frequency, and cervical dilation. In this paper, such a model is presented for the primigravida in normal labor.MethodsThe conceptual and mathematical models represent oxytocin release by the hypothalamus, oxytocin pharmacokinetics, and oxytocin effect on uterine contractions, cervical dilation, and (positive) feedback from cervical dilation to oxytocin release by the hypothalamus.ResultsSimulation results for cervical dilation are presented, together with target data for a normal primigravida. Corresponding oxytocin concentrations and amplitude and frequency of uterine contractions are also presented.ConclusionAn original empirical model for educational simulation of oxytocin concentration, uterine contractions, and cervical dilation in first-stage labor is presented. Simulation results for cervical dilation match target data for a normal patient. The model forms a basis for taking into account more independent variables and patient profiles and can thereby considerably expand the range of training scenarios that can be simulated.

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Section: Introductionmentioning

confidence: 99%

An empirical model for educational simulation of cervical dilation in first-stage labor

et al. 2018

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“…The clinical IUP measurements presented in are considered for the parameter identification herein. From one IUP signal, PIP clin =80 mmHg and DIP clin =12.27 s are obtained and utilized in .…”

Section: Parameter Identificationmentioning

confidence: 99%

“…18.00 3.50 0.11 6.00 0.005 1.00 depolarization signal will provide IUP's with characteristics close to clinical measurements, see, for example [40][41][42]. The uterus geometry is meshed into 3566 tetrahedral, 2514 triangular, and 139 edge elements using 'Physics-Controlled' meshing in COMSOL MULTIPHYSICS © .…”

Section: Finite Element Implementation: the Baseline Iup Simulationmentioning

confidence: 99%

“…The multiobjective genetic algorithm (MOGA) [48,49] in modeFrontier © with 250 generations and enabled elitism criteria [49] is employed to perform the optimization. The clinical IUP measurements presented in [42] are considered for the parameter identification herein. From one IUP signal, PIP clin D 80 mmHg and DIP clin D 12:27 s are obtained and utilized in (9).…”

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confidence: 99%

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Identification of the mechanical parameters for the human uterus in vivo using intrauterine pressure measurements

Sharifimajd

Ölvander

Stålhand

2016

Numer Methods Biomed Eng

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There are limited experimental data to characterize the mechanical response of human myometrium. A method is presented in this work to identify mechanical parameters describing the active response of human myometrium from the in vivo intrauterine pressure measurements. The human uterine contraction during labor is simulated by implementing a coupled model in a finite element scheme, and the intrauterine pressure is evaluated as the outcome. A meta-model is developed to approximate the finite element simulation response with a lower computational cost and used to identify model parameters through fitting its prediction to the in vivo measurements. Copyright © 2016 John Wiley & Sons, Ltd.

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“…The only study which has simulated uterine contraction is due to Cochran and Gao (2013). They developed an electromechanical model to simulate intrauterine pressure (IUP), a clinical gold standard to assess the uterine contraction during labor (Csapo and Pinto-Dantas 1965;Maul et al 2003;Buhimschi et al 2004;Bastos et al 2010). The model does not, however, include important parts of the process leading to uterine contraction, namely the dynamics of the intracellular calcium ion concentration ([Ca 2+ ] i ), the myosin phosphorylation process, and the filament sliding, known to be the origin of muscle contractions (Huxley 1974;McMahon 1984;Murtada et al 2010;Sharifimajd and Stålhand 2013).…”

Section: Introductionmentioning

confidence: 99%

Simulating uterine contraction by using an electro-chemo-mechanical model

Sharifimajd

Thore

Stålhand

2015

Biomech Model Mechanobiol

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Contractions of uterine smooth muscle cells consist of a chain of physiological processes. These contractions provide the required force to expel the fetus from the uterus. The inclusion of these physiological processes is, therefore, imperative when studying uterine contractions. In this study, an electro-chemo-mechanical model to replicate the excitation, activation, and contraction of uterine smooth muscle cells is developed. The presented modeling strategy enables efficient integration of knowledge about physiological processes at the cellular level to the organ level. The model is implemented in a three-dimensional finite element setting to simulate uterus contraction during labor in response to electrical discharges generated by pacemaker cells and propagated within the myometrium via gap junctions. Important clinical factors, such as uterine electrical activity and intrauterine pressure, are predicted using this simulation. The predictions are in agreement with clinically measured data reported in the literature. A parameter study is also carried out to investigate the impact of physiologically related parameters on the uterine contractility.

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An intrauterine pressure generator for educational simulation of labour and delivery

Cited by 19 publications

References 27 publications

An empirical model for educational simulation of cervical dilation in first-stage labor

An empirical model for educational simulation of cervical dilation in first-stage labor

Identification of the mechanical parameters for the human uterus in vivo using intrauterine pressure measurements

Simulating uterine contraction by using an electro-chemo-mechanical model

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