Conception d’un logiciel de calcul de la thermoneutralité dans les incubateurs fermés pour nouveau-nés prématurés (projet Pretherm®)

Décima, Pauline; Dégrugilliers, Loïc; Delanaud, Stéphane; Stéphan-Blanchard, Erwan; Vanhee, J. L.; Libert, Jean‐Pierre

doi:10.1016/j.irbm.2012.01.014

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…In clinical situations, the models can thus be used easily to define the optimal temperature at which a neonate should be nursed [30][31][32] for the optimization of body growth and survival. The models can also be used to make recommendations for avoiding hypothermia or hyperthermia.…”

Section: Applications and Research Perspectivesmentioning

confidence: 99%

“…The device was located 35 cm above the mannequin, as recommended by the manufacturer. The incorporation of preliminary data into the predictive model [30,31] showed that in order to achieve an optimal thermal environment during phototherapy, the mean ± standard deviation (SD) incubator air temperature can be decreased by 0.68 ± 0.15 (for the Appl. Sci.…”

Section: Applications and Research Perspectivesmentioning

confidence: 99%

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Can Mathematical Models of Body Heat Exchanges Accurately Predict Thermal Stress in Premature Neonates?

et al. 2019

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Mathematical models of body heat exchanges can be used to define the thermal limits needed to protect premature neonates nursed in incubators against thermal stress–stress that can have potentially devastating impairments on neurological development and body growth. Predictive models can help caregivers to keep a neonate’s body temperature within the normal range and to solve problems that arise during intensive care, such as the risk of hyperthermia during phototherapy, the risk of hypothermia during transport from one clinical centre to another, and the use of a plastic bag to reduce skin water loss and body dehydration. Here, we review the strengths and limitations of models used to predict the risk of thermal stress, with a focus on uncertainties in the algorithms governing heat transfers between the neonate’s skin and the complicated thermal environment encountered in incubators. We describe attempts to reduce the large number of empirical assumptions and uncertainties in this field, and suggest ways of more accurately modelling optimal thermal conditions for neonates nursed in closed incubators.

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Section: Applications and Research Perspectivesmentioning

confidence: 99%

Section: Applications and Research Perspectivesmentioning

confidence: 99%

Can Mathematical Models of Body Heat Exchanges Accurately Predict Thermal Stress in Premature Neonates?

et al. 2019

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show abstract

“…Water density, kg/mL Stefan-Boltzmann constant, 5.64 × 10 −8 W/m 2 .K 4 ε s Radiant emissivity of the skin, assumed to be 1.0 ε w Radiant emissivity of the wall Plexiglass 37.5 • C) [6]. To regulate precisely the air temperature and relative humidity and to discuss the evaporation loss, it is absolutely essential that the model of infant incubator should be precise for prediction but also simple to control.…”

Section: Q Scvmentioning

confidence: 99%

Building simulation model of infant-incubator system with decoupling predictive controller

Zermani¹,

Feki²,

Mami³

2014

IRBM

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Measurement and Control of an Incubator Temperature by Using Conventional Methods and Fiber Bragg Grating (FBG) Based Temperature Sensors

Burunkaya

Yücel

2020

J Med Syst

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Conception d’un logiciel de calcul de la thermoneutralité dans les incubateurs fermés pour nouveau-nés prématurés (projet Pretherm®)

Cited by 7 publications

References 18 publications

Can Mathematical Models of Body Heat Exchanges Accurately Predict Thermal Stress in Premature Neonates?

Can Mathematical Models of Body Heat Exchanges Accurately Predict Thermal Stress in Premature Neonates?

Building simulation model of infant-incubator system with decoupling predictive controller

Measurement and Control of an Incubator Temperature by Using Conventional Methods and Fiber Bragg Grating (FBG) Based Temperature Sensors

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