Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View
Abstract
kids born before 37 weeks of pregnancy or weighing less than 2500 grams are considered premature, whereas kids born between 38 and 40 weeks of pregnancy and between 2500 to 4000 grams are considered full-term. Given that their organ systems are still developing within the womb, premature infants find it difficult to adjust to life outside the womb. As a result, special consideration must be made. They include modifying the environment's temperature, humidity, and oxygen needs to reflect those of the mother's womb. These conditions might be replaced with a baby incubator. This tool's creation is intended to make it easier for midwives and other healthcare professionals to keep an eye on many baby incubators. The Internet of Things (IoT) system is used by this instrument to transfer data. Using three ESP32 modules that have been put together to create modules that can collect data and have that data analyzed by a server (central monitoring) Raspberry Pi Zero W. Data will be sent via Internet of Things (IoT) technology, and the website will display the data. Two tests were conducted at 32 degrees Celsius, one at 34 degrees Celsius, and one at 36 degrees Celsius for a total of five tests. This technique was developed using a form of pre-experimental, after-only study. In this configuration, researchers may only see the module reading results; incubator analyzer data are not shown. Error value 3 in monitoring at 32 degrees Celsius has a maximum error of -0.04 percent. The largest error value occurs when the temperature is set to 34 degrees Celsius, when the monitoring error value is -0.016%. Monitoring inaccuracy is at its highest, 0.01%, when the temperature is 36 degrees Celsius. The monitoring 3 error value is most at 32 degrees Celsius (-0.025 percent), followed by 34 degrees Celsius (0.031 percent), and finally 36 degrees Celsius (0.049 percent), as shown by data on noise measurements. The findings demonstrate that each measurement performed by the module still contains mistakes. Medical staff should find it easier to concurrently monitor many infant incubators thanks to this discovery.
Downloads
References
F. K. Palupi, S. Luthfiyah, I. D. Gede, H. Wisana, and M. Thaseen, “Baby Incubator Monitoring Center for Temperature and Humidity using WiFi Network,” vol. 3, no. 1, pp. 8–13, 2021.
M. Suruthi and S. Suma, “Microcontroller Based Baby Incubator Using Sensors,” pp. 12037–12044, 2015, doi: 10.15680/IJIRSET.2015.0412050.
P. K. Surabaya, B. Incubator, and S. Temperature, “Baby Incubator Monitoring Center Using Wi-Fi Network for Data Transmission,” vol. 55, pp. 275–287, 2022.
T. Global and A. Report, “Born Too Soon,” doi: 978 92 4 150343 3.
A. Rajalakshmi, K. A. Sunitha, and R. Venkataraman, “A survey on neonatal incubator monitoring system,” J. Phys. Conf. Ser., vol. 1362, no. 1, 2019, doi: 10.1088/1742-6596/1362/1/012128.
M. Shaib, L. Hamawy, and I. El Majzoub, “Advanced Portable Preterm Baby Incubator,” no. October, 2017, doi: 10.1109/ICABME.2017.8167522.
M. Ali, M. Abdelwahab, S. Awadekreim, and S. Abdalla, “Development of a Monitoring and Control System of Infant Incubator,” 2018 Int. Conf. Comput. Control. Electr. Electron. Eng. ICCCEEE 2018, no. Lcd, pp. 1–4, 2018, doi: 10.1109/ICCCEEE.2018.8515785.
J. Prinyakupt and K. Roongprasert, “Verification Device for Temperature and Relative Humidity Inside the Infant Incubator via IoT,” pp. 1–6, 2019.
T. A. Tisa, Z. A. Nisha, and A. Kiber, “DESIGN OF AN ENHANCED TEMPERATURE CONTROL SYSTEM FOR NEONATAL INCUBATOR,” vol. 5, no. 1, pp. 53–62, 2012.
P. Kshirsgar, V. More, V. Hendre, and P. Chippalkatti, “IOT Based Baby Incubator for Clinic IOT Based Baby Incubator for Clinic,” no. January, 2020, doi: 10.1007/978-981-13-8715-9.
R. R. Fadilla et al., “A Multifunction Infant Incubator Monitoring System with Phototherapy and ESP-32 Based Mechanical Swing,” pp. 371–381.
F. Pinto, E. Fernandes, D. Virella, A. Abrantes, and M. T. Neto, “Born Preterm: A Public Health Issue,” Port. J. Public Heal., vol. 37, no. 1, pp. 38–49, 2019, doi: 10.1159/000497249.
K. Takahashi, K. Mizuno, and K. Itabashi, “The freeze-thaw process and long intervals after fortification denature human milk fat globules,” Am. J. Perinatol., vol. 29, no. 4, pp. 283–287, 2012, doi: 10.1055/s-0031-1295659.
L. Nachabe, B. Elhassan, and J. Jammas, “M-health application for Neonatal Incubator signals monitoring through a CoAP-based multi-agent system,” pp. 170–173, 2015.
C. Paper, R. A. Koestoer, N. Pancasaputra, I. Roihan, and H. Harinaldi, “A simple calibration methods of relative humidity sensor DHT22 for tropical climates based on Arduino data acquisition system,” no. February, 2019, doi: 10.1063/1.5086556.
C. Science, “HOW TO USE THE DHT22 SENSOR FOR MEASURING TEMPERATURE AND HUMIDITY WITH THE ARDUINO BOARD BOGDAN,” vol. LXVIII, no. 2, pp. 22–25, 2016, doi: 10.1515/aucts-2016-0005.
D. D. Vyas, “System for Remote Monitoring and Control of Baby Incubator and Warmer,” no. May 2016, pp. 2–8, 2017.
I. Allafi, “Design and Implementation of a Low Cost Web Server Using ESP32 for Real-Time Photovoltaic System Monitoring,” no. May 2022, 2017, doi: 10.1109/EPEC.2017.8286184.
M. Subramanian, T. Sheela, K. Srividya, and D. Arulselvam, “Security And Health Monitoring System Of The Baby In Incubator,” no. March, 2021, doi: 10.35940/ijeat.F9353.088619.
W. H. O. Technical and R. Series, “Temperature and humidity monitoring systems for transport operations,” 2015.
M. S. Mardianto, A. I. Saputra, C. Sukma, and A. Nasrulloh, “Infant Incubator Temperature Controlled and Infant Body Temperature Monitor using Arduino Mega2560 and ADS1232 Abstract :,” no. December, 2019, doi: 10.29126/23942231/IJCT-V6I6P6.
M. Hulea, G. Mois, S. Folea, and L. Miclea, “Wi-Sensors : a Low Power Wi-Fi Solution for Temperature and Humidity Measurement,” pp. 4011–4015, 2013.
W. Adhiwibowo, A. F. Daru, and A. M. Hirzan, “Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API,” vol. 17, no. 2, pp. 209–214, 2020.
A. Sekarwati, T. Hamzah, and S. Misra, “Sensor Accuracy Analysis on Incubator Analyzer to Measure Noise and Airflow Parameters,” pp. 135–143, 2022.
I. Allafi, “Design and Implementation of a Low Cost Web Server Using ESP32 for Real-Time Photovoltaic System Monitoring,” pp. 1–5, 2017.
Copyright (c) 2024 Dila Anggraeni Puspitasari
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlikel 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
