Design of Incu Analyzer for IOT based Baby Incubator Calibration (Chamber Temperature)

  • Silvi Dwi Septiana Department of Medical Electronic Technology, Poltekkes Kemenkes Surabaya
  • Syaifudin Syaifudin Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Jl. Pucang Jajar Timur No. 10, Surabaya, 60245, Indonesia
  • Anita Miftahul Maghfiroh Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Jl. Pucang Jajar Timur No. 10, Surabaya, 60245, Indonesia
  • Phuoc-Hai Huynh An Giang University, Vietnam National University Ho Chi Minh City, An Giang, Vietnam
Keywords: INCU analayser, IOT, Baby incubator, Calibration

Abstract

Incubator Analyzer is a calibration tool used to measure temperature, mattress temperature, humidity, airflow, and sound level in baby incubators. The purpose of this research is to make a tool "Design of Incu Analyzer for IOT based Baby Incubator Calibration (Chamber Temperature)” with LCD display and Thingspeak. The design of this calibration tool consists of baby incubator chamber temperature parameters consisting of 5 points, namely T1, T2, T3 , T4, T5 using the DS18B20 sensor and using the ESP32 microcontroller to take advantage of the IOT system. Utilization of IOT on ESP32 is using Wi-Fi. The ESP32 microcontroller processes data from the DS18B20 temperature sensor which is then displayed on the LCD display and Thingspeak. Testing of this tool is done by comparing incubator analyzer module with a standard measuring instrument, INCU II. In this study, the temperature parameter obtained the smallest error value of -0,059293% at T5 with a setting temperature of 36°C and the largest error value of -0,0254188% at T2 with a setting temperature of 35°C. Overall the conclusions obtained after carrying out the literature study process, and planning, it can be concluded that the tool "Incu Analyzer Design for IOT based Baby Incubator Calibration" can be used according to the plan, namely Incubator Analyzer with IOT based.

Downloads

Download data is not yet available.

References

C. Koch and K. Blind, “Towards Agile Standardization: Testbeds in Support of Standardization for the IIoT,” IEEE Trans. Eng. Manag., vol. 68, no. 1, pp. 59–74, 2021, doi: 10.1109/TEM.2020.2979697.

M. I. Malik, I. McAteer, P. Hannay, and Z. Baig, “Preparing for Secure Wireless Medical Environment in 2050: A Vision,” IEEE Access, vol. 6, pp. 25666–25674, 2018, doi: 10.1109/ACCESS.2018.2833509.

M. R. Neuman et al., “Advances in medical devices and medical electronics,” Proc. IEEE, vol. 100, no. SPL CONTENT, pp. 1537–1550, 2012, doi: 10.1109/JPROC.2012.2190684.

C. Das et al., “Toward IoRT Collaborative Digital Twin Technology Enabled Future Surgical Sector: Technical Innovations, Opportunities and Challenges,” IEEE Access, vol. 10, no. November, pp. 129079–129104, 2022, doi: 10.1109/ACCESS.2022.3227644.

S. N. Swamy and G. S. Member, “An Empirical Study on System Level Aspects of Internet of Things ( IoT ),” vol. 8, 2020.

B. S. Ahmed, M. Bures, K. Frajtak, and T. Cerny, “Aspects of Quality in Internet of Things (IoT) Solutions: A Systematic Mapping Study,” IEEE Access, vol. 7, pp. 13758–13780, 2019, doi: 10.1109/ACCESS.2019.2893493.

M. Shoaib, L. Hamawy, and I. El Majzoub, "Advanced Portable Preterm Baby Incubator," no. October, 2017, doi: 10.1109/ICABME.2017.8167522.

S. Delanaud, P. Decima, A. Pelletier, and J. Libert, “Thermal management in closed incubators : New software for assessing the impact of humidity on the optimal incubator air temperature Thermal management in closed incubators : New software for assessing the impact of humidity on the optimal incubator air t,” no. June, 2017, doi: 10.1016/j.medengphy.2017.06.002.

E. Özdemđrcđ, M. Ö. Yatak, and F. Duran, "Reliability Assessments of Infant Incubator and the Analyzer," no. January 2014.

H. Mittal, L. Mathew, and A. Gupta, “Design and Development of an Infant Incubator for Controlling Multiple Parameters,” vol. 11, pp. 65–72, 2015.

B. Lindberg and K. Ohrling, “Experiences of having a prematurely born infant from the perspective of mothers in northern Sweden,” no. January, 2009, doi: 10.3402/ijch.v67i5.18353.

S. Pohlman, “Fathering Premature Infants and the Technological Imperative of the Neonatal Intensive Care Unit An Interpretive Inquiry,” no. October, pp. 0–16, 2017, doi: 10.1097/ANS.0b013e3181b0d68c.

S. Ainiyah, D. H. Andayani, A. Pudji, and M. Shaib, “Development of Incubator Analyzer Based on Computer with Temperature And Humidity Parameter,” vol. 2, no. 2, pp. 48–56, 2020.

A. Gupta and E. Foundation, “Controlling of Temperature and Humidity for an Infant Incubator Using Microcontroller,” no. June 2015, 2018, doi: 10.15662/ijareeie.2015.0406012.

V. A. Athavale and A. Pati, “An Android INCU Analyzer Design to Calibrate Infant Incubator Using Bluetooth Communication for Real-Time and Wireless Monitoring,” no. March, 2022, doi: 10.35882/teknokes.v15i1.1.

S. N. Sreenath, S. Kumar, H. S. Lohit, and M. S. E. Student, “Design of an Infant Incubator for Cost Reduction and Improved Usability for Indian Health Care Centers,” vol. 11, no. 2, pp. 82–89, 2012.

O. M. Vasilevskyi, “Calibration method to assess the accuracy of measurements,” no. December 2014, 2015, doi: 10.1051/ijmqe/2014017.

L. Bol and D. J. Hacker, “Calibration research: Where do we go from here?,” Front. Psychol., vol. 3, no. JUL, pp. 1–6, 2012, doi: 10.3389/fpsyg.2012.00229.

L. Nurrohmah, D. H. Andayani, and A. Pudji, “Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate,” vol. 2, no. 2, pp. 74–79, 2020.

F. M. Vitale, G. Chirico, and C. Lentini, “Sensory stimulation in the nicu environment: Devices, systems, and procedures to protect and stimulate premature babies,” Children, vol. 8, no. 5, 2021, doi: 10.3390/children8050334.

R. A. Koestoer, Y. A. Saleh, I. Roihan, and Harinaldi, “A simple method for calibration of temperature sensor DS18B20 waterproof in oil bath based on Arduino data acquisition system,” AIP Conf. Proc., vol. 2062, no. January 2019, doi: 10.1063/1.5086553.

A. Latif, A. Z. Arfianto, J. E. Poetro, T. N. Phong, and E. T. Helmy, “Temperature monitoring system for baby incubator based on visual basic,” J. Robot. Control, vol. 2, no. 1, pp. 47–50, 2021, doi: 10.18196/jrc.2151.

R. D. Rojas, E. F. Bell, and E. L. Dove, “Mathematical model of premature baby thermoregulation and infant incubator dynamics,” Int. Conf. Simul. Model. Bioeng. BIOSIM, vol. 3, pp. 23–38, 1996.

O. Access, “The World Health Organization ACTION-I (Antenatal CorTicosteroids for Improving Outcomes in preterm Newborns) Trial: a multi-country, multi-centre, two-arm, parallel, double-blind, placebo-controlled, individually randomized trial of antenatal corticosteroids for women at risk of imminent birth in the early preterm period in hospitals in low-resource countries,” Trials, vol. 20, no. 1, p. 507, 2019, doi: 10.1186/s13063-019-3488-z.

B. V. Patil and D. Gala, “An Analysis of Enabling Technologies for the Internet of Things,” no. June, 2023.

Published
2023-11-21
How to Cite
[1]
S. Septiana, S. Syaifudin, A. M. Maghfiroh, and P.-H. Huynh, “Design of Incu Analyzer for IOT based Baby Incubator Calibration (Chamber Temperature)”, Teknokes, vol. 16, no. 3, pp. 138-145, Nov. 2023.
Section
Biomedical Engineering