Heat and mass transfer of preterm neonates nursed inside incubators - A review

Hannouch, Aziza; Lemenand, Thierry; Khoury, Khalil El; Habchi, Charbel

doi:10.1016/j.tsep.2020.100553

Cited by 5 publications

(3 citation statements)

References 60 publications

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“…It was also made by Azkiyak et, al proposing a temperature and humidity monitoring with ATmega328 Microcontroller, the distribution process still used HC-12 wireless [43]. Then Hannouch et al also proposed monitoring of temperature and humidity in infant warmers through wireless equipped nurse-call where the delivery process still used HC-11 and the results were displayed on a computer [44]. According to Shabaan, his research also used the internet, and the data was displayed through Character LCD for temperature and humidity monitoring [45].…”

Section: Discussionmentioning

confidence: 99%

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Fauzi,

Maharesi,

Setiyadi

2023

Journal of Robotics and Control

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Hypothermia is a drop in body temperature below 36.5°C in newborns. It results in an internal distribution of body heat from the nucleus to the periphery, followed by heat loss greater than metabolic production. Hypothermia is one of the factors predisposing to metabolic disorders, intracranial hemorrhage, respiratory distress, and Necrotizing enterocolitis. Hypothermia problems can be treated with infant warmers. Thus, the need for a infant warmer is considered to improve survival in newborns. This study aims to improve the accuracy of temperature monitoring, increase security, and enable remote monitoring. The temperature sensor of the device is calibrated with comparable devices such as Incubator Analyzer and Thermo hygrometer while the SpO2 sensor is calibrated with Spotlight SpO2 Functional Tester and Thermo hygrometer. Achievement and validation of temperature and oxygen saturation use a calibration comparison tool. The results of the temperature sensor measurements, including air temperature and skin sensor temperature, namely: air temperature error tolerance ≤2°C and skin sensor temperature error tolerance ± 0.5 ° C. All two indicators have the same standard deviation value of ±0.49. The SpO2 indicator reached an error tolerance value of ± 1% O2 with a standard deviation value of ± 0.6-0.9 from six trials. Then the pulse rate indicator obtained an error tolerance of ±5% with a standard deviation value of ±0.6. The smart infant warmer tool provides benefits to avoid excessive heat from the heater and minimize low temperatures that cause hypothermia through the Internet of Things technology. Furthermore, this research can be improved with machine learning technology to increase efficiency and effectiveness in patient treatment.

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Section: Discussionmentioning

confidence: 99%

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Fauzi,

Maharesi,

Setiyadi

2023

Journal of Robotics and Control

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“…Recently, computational fluid dynamics (CFD) techniques have become an essential tool in predicting thermal comfort, with the ability to economically and quickly characterize the temperature and velocity fields and heat transfer coefficient without experimental measurements. Based on CFD simulations, the underlying mechanism of heat transfer from an infant under varied environmental conditions has been further analyzed 10–14 …”

Section: Introductionmentioning

confidence: 99%

“…Based on CFD simulations, the underlying mechanism of heat transfer from an infant under varied environmental conditions has been further analyzed. [10][11][12][13][14] In CFD-based research on infants' thermal comfort, airflow pattern has drawn significant interest because it greatly alters the heat transfer from infants. An appropriate turbulence model contributes to a better understanding of airflow structure and its impacts on heat transfer.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the convective heat transfer coefficient for a sleeping infant in a ventilation room

Jiang

Zhang

2022

Indoor Air

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This study aimed to investigate the influence of wind speed and direction on the convective heat transfer from a sleeping infant in different postures. A computational fluid dynamics (CFD) model of a virtual infant manikin with realistic dimensions was developed to obtain the convective heat transfer coefficient (hc) at the body surface and the airflow and temperature distributions. The numerical model was validated beforehand using experimental data collected from infant thermal manikin experiments. The simulation results revealed that the infant's whole‐body hc increased from 4.00 to 15.73 W/m2·K when wind speed varied from 0.12 to 1 m/s. Infants lost heat more quickly than adults under ventilation, with about 2 W/m2·K higher hc than adults in still air, and the discrepancy widened as the wind speed increased. Wind from the floor generated the highest hc, approximately 66.4% greater than the wind from the feet at 1 m/s wind speed. Considering the wind from the feet caused the most evenly distributed hc, ventilation equipment was suggested to be placed on the side of the infant's feet to reduce local discomfort. Based on the simulation results, empirical models of hc were developed, which lay a solid theoretical foundation for further study on the interaction between infants and environments.

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Modeling heat transfer in humans for body heat harvesting and personal thermal management

Kim

Woo

et al. 2022

Applied Energy

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Heat and mass transfer of preterm neonates nursed inside incubators - A review

Cited by 5 publications

References 60 publications

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Numerical investigation of the convective heat transfer coefficient for a sleeping infant in a ventilation room

Modeling heat transfer in humans for body heat harvesting and personal thermal management

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