A Fuzzy Logic Approach for Temperature Stability in Infant Incubator Systems

https://doi.org/10.56741/IISTR.esl.001451

Authors

Keywords:

Fuzzy Logic, Infant Incubator, Temperature Control, Thermal Stability

Abstract

An infant incubator is a critical life-support device that provides thermal regulation for premature or low-birth-weight infants who are unable to maintain stable body temperature. Precise temperature control is essential, as instability and prolonged transient responses can increase health risks. Conventional on-off control methods commonly used in basic incubator systems often result in slower stabilization and higher temperature error. Therefore, this study aims to design and implement a baby incubator temperature control system using a fuzzy logic controller (FLC) integrated with a DS18B20 temperature sensor to improve thermal stability. The proposed system was implemented on a physical incubator prototype and evaluated experimentally. System performance was assessed based on dynamic response characteristics, including rise time, peak overshoot, and settling time. Experiments were conducted using three temperature setpoints: 32°C, 35°C, and 36°C. To ensure measurement accuracy, system performance was validated using an Incu Analyzer as a reference device. The experimental results show that the fuzzy logic-based control system achieved a steady-state temperature error of approximately 1% across all setpoints. The maximum observed settling time after peak overshoot was 100 seconds, indicating faster and more stable temperature regulation compared with conventional on-off control methods reported in previous studies. These results demonstrate that fuzzy logic control is effective in handling nonlinear thermal dynamics and improving temperature stability in infant incubator systems. This study focuses on technical performance evaluation; therefore, further investigations related to safety assessment and regulatory compliance are required before clinical implementation. Nevertheless, the proposed system shows strong potential as an intelligent temperature control approach for the development of neonatal incubator technology.

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Author Biographies

Syaifudin, Politeknik Kesehatan Kemenkes Surabaya

He holds a Master's degree in Electrical Engineering from the Sepuluh Nopember Institute of Technology in Surabaya, as a lecturer in the field of life-support electromedical equipment in the Department of Electromedical Technology, Health Polytechnic, Ministry of Health, Surabaya. Other Tridharma (Three Pillars of Good Conduct) activities include community service and research. His current research focuses on designing a PID and fuzzy logic control system for life-support medical devices (baby incubators) to stabilize room temperature, as well as conducting research on sensors related to sensor detection for improved device parameters. He is also an active member of IKATEMI (Indonesian Electromedical Association). This organization aims to improve the professionalism of electromedical technicians and medical technology professionals in Indonesia.

Abd. Kholiq, Politeknik Kesehatan Kemenkes Surabaya

studying Engineering Physics (S2) Master of Technology
Institution Sepuluh Nopember Surabaya from 2012-2014, as a lecturer in the field of
electromedical equipment types of life support equipment in the Department of
Electromedical Technology Polytechnic Health Ministry of Health Surabaya. Other Tridarma
activities carried out are conducting community service activities as well as carrying out
research activities. Current research is the design of PID and fuzzy logic control systems on
lifesupport type medical equipment (baby incubator) for room temperature stability as well
as conducting research on sensors that have to do with detection sensors on the equipment
parameters to be better. Currently, he is also an active member of IKATEMI (Indonesian
Electromedical Association) This organization aims to improve the professionalism of
electromedical technicians and medical technology in Indonesia. He can be contacted at

Anita Miftahul Maghfiroh, Politeknik Kesehatan Kemenkes Surabaya

Politeknik Kesehatan Kemenkes Surabaya

References

M. Ali, M. Abdelwahab, S. Awadekreim, and S. Abdalla, “Development of a Monitoring and Control System of Infant Incubator,” 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), no. LCD, pp. 1–4, 2018. DOI: https://doi.org/10.1109/ICCCEEE.2018.8515785

H. Jadav, A. Bansode, and P. D. Sharma, “PID Temperature Controller Infant Incubator Using RTD,” IOSR Journal of Engineering (IOSRJEN), vol. 11, pp. 13–16, 2018.

N. P. Reddy, G. Mathur, and S. I. Hariharan, “Toward a fuzzy logic control of the infant incubator,” Ann Biomed Eng, vol. 37, no. 10, pp. 2146–2152, 2009, doi: 10.1007/s10439-009-9754-6. DOI: https://doi.org/10.1007/s10439-009-9754-6

N. Y. D. Setyaningsih and A. C. Murti, “Control Temperature on Plant Baby Incubator With Fuzzy Logic,” Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, vol. 7, no. 1, p. 273, 2016, doi: 10.24176/simet.v7i1.514. DOI: https://doi.org/10.24176/simet.v7i1.514

W. Widhiada, “Temperature stability and humidity on infant incubator based on fuzzy logic control,” ACM International Conference Proceeding Series, pp. 155–159, 2019, doi: 10.1145/3330482.3330527. DOI: https://doi.org/10.1145/3330482.3330527

R. A. Koestoer, I. Roihan, and A. D. Andrianto, “Product design, prototyping , and testing of twin incubator based on the concept of Grashof incubator Product Design, Prototyping , and Testing of Twin Incubator Based on the Concept of Grashof Incubator,” vol. 020013, no. January 2019, 2020. DOI: https://doi.org/10.1063/1.5086560

B. G. Irianto, “Controlling the Temperature of PID System-Based Baby Incubator to Reduction Overshoot,” Lecture Notes in Electrical Engineering, vol. 1008, pp. 529–541, 2023, doi: 10.1007/978-981-99-0248-4_35. DOI: https://doi.org/10.1007/978-981-99-0248-4_35

N. Zhang, O. Wood, Z. Yang, and J. Xie, “AI-Guided Computing Insights into a Thermostat Monitoring Neonatal Intensive Care Unit (NICU),” Sensors (Basel), vol. 23, no. 9, 2023, doi: 10.3390/s23094492. DOI: https://doi.org/10.3390/s23094492

M. Shaib, M. Rashid, L. Hamawy, M. Arnout, I. El Majzoub, and A. J. Zaylaa, “Advanced portable preterm baby incubator,” International Conference on Advances in Biomedical Engineering, ICABME, vol. 2017-Octob, no. October, 2017, doi: 10.1109/ICABME.2017.8167522. DOI: https://doi.org/10.1109/ICABME.2017.8167522

A. Rizal and E. Susanto, “Design and implementation of PID control based baby incubator,” J. Theor. Appl. Inf. Technol, no. May.

R. R. Fadilla et al., “A Multifunction Infant Incubator Monitoring System with Phototherapy and ESP-32 Based Mechanical Swing,” International Journal of Science, Technology & Management, pp. 371–381, 2020. DOI: https://doi.org/10.46729/ijstm.v1i4.93

A. V. Zaelani, R. A. Koestoer, and I. Roihan, “Analysis of temperature stabilization in Grashof incubator with environment variations based on Indonesian national standard ( SNI ) Analysis of Temperature Stabilization in Grashof Incubator with Environment Variations Based on Indonesian National Standa,” AIP Conference Proceedings 2062, vol. 020003, 2019. DOI: https://doi.org/10.1063/1.5086550

A. Latif, “Temperature monitoring system for baby incubator based on Visual Basic,” Journal of Robotics and Control (JRC), vol. 2, no. 1, pp. 47–50, 2021, doi: 10.18196/jrc.2151. DOI: https://doi.org/10.18196/jrc.2151

Q. Hidayati, N. Yanti, N. Jamal, and M. Adisaputra, “Portable Baby Incubator Based On Fuzzy Logic,” Journal of Telematics and Informatics, vol. 8, no. 1, pp. 47–57, 2020.

B. Radhika and V. R. Sheshagiri Rao, “Incubator baby parameter sensing and monitoring,” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 7, pp. 2945–2947, 2019.

T. A. Tisa, Z. A. Nisha, and M. A. Kiber, “Design of an Enhanced Temperature Control System for Neonatal Incubator,” Bangladesh Journal of Medical Physics, vol. 5, no. 1, pp. 53–61, 2013, doi: 10.3329/bjmp.v5i1.14668. DOI: https://doi.org/10.3329/bjmp.v5i1.14668

L. Nachabe, M. Girod-Genet, B. ElHassan, and J. Jammas, “M-health application for neonatal incubator signals monitoring through a CoAP-based multi-agent system,” 2015 International Conference on Advances in Biomedical Engineering, ICABME 2015, pp. 170–173, 2015, doi: 10.1109/ICABME.2015.7323279. DOI: https://doi.org/10.1109/ICABME.2015.7323279

K. Supriyadi, U. Islam, and S. Agung, “Fuzzy Logic Based Incubator Temp and Humid,” Journal of Telematics and Informatics (JTI), vol. 7, no. 3, 2019.

L. Spahić, “Machine learning techniques for performance prediction of medical devices: infant incubators,” IFMBE Proc, vol. 73, pp. 483–490, 2020, doi: 10.1007/978-3-030-17971-7_72. DOI: https://doi.org/10.1007/978-3-030-17971-7_72

Y. A. K. Utama, “Design of PID Disturbance Observer with Neuro Fuzzy Inverse Model for Precise Temperature Control in Infant Incubator,” Proceedings - 1st International Conference on Information Technology, Advanced Mechanical and Electrical Engineering, ICITAMEE 2020, pp. 179–184, 2020, doi: 10.1109/ICITAMEE50454.2020.9398509. DOI: https://doi.org/10.1109/ICITAMEE50454.2020.9398509

A. Kholiq and Lamidi, “Analysis of Temperature Sensors with Proportional and Derivative Controls Applied to Infant Incubators,” Journal of Biomimetics, Biomaterials and Biomedical Engineering, vol. 55, pp. 216–225, 2022, doi: 10.4028/p-f9uc3z. DOI: https://doi.org/10.4028/p-f9uc3z

M. A. Zermani, “Modeling and Simulation of Heat Exchange in an Infant Incubator System Using LabVIEW,” Mediterranean Microwave Symposium, 2023, doi: 10.1109/MMS59938.2023.10421721. DOI: https://doi.org/10.1109/MMS59938.2023.10421721

I. K. A. A. Aryanto, “Developing a smart system for infant incubators using the internet of things and artificial intelligence,” International Journal of Electrical and Computer Engineering, vol. 14, no. 2, pp. 2293–2312, 2024, doi: 10.11591/ijece.v14i2.pp2293-2312. DOI: https://doi.org/10.11591/ijece.v14i2.pp2293-2312

W. Shalannanda, “Design of hardware module of iot-based infant incubator monitoring system,” Proceedings - 2020 6th International Conference on Wireless and Telematics, ICWT 2020, 2020, doi: 10.1109/ICWT50448.2020.9243665. DOI: https://doi.org/10.1109/ICWT50448.2020.9243665

Mrs. D. S.S., “Smart Infant Incubator,” 2024. doi: 10.55041/ijsrem31691. DOI: https://doi.org/10.55041/IJSREM31691

I. Adam, H. F. Rozi, S. Khan, Z. Zaharuddin, K. Kadir, and A. N. Nurdin, “The development of the fuzzy-based infant incubator,” 2019. doi: 10.1063/1.5118109. DOI: https://doi.org/10.1063/1.5118109

N. T. Al-Sharify, B. M. Alameri, M. Muhammad, and ..., “Advanced biomedical engineering technology in designing economic low-cost prototype infant incubator using Arduino,” AIP Conference …, 2023, doi: 10.1063/5.0150145/18055997/090022_1_5.015014. DOI: https://doi.org/10.1063/5.0150145

S. Kalidass and W. Mahmud, “Development of IOT-based Infant Incubator System with Temperature Detection,” Evolution in Electrical and …, 2024.

P. P. Eniyaa, J. P. RS, V. Kalki, and S. T. Monica, “An Intelligent System For Infant Incubator Using The IoMT,” Journal for ReAttach Therapy …, 2023.

Zermani, “Application of Adaptive Predictive Control to a Newborn Incubator,” American Journal of Engineering and Applied Sciences, vol. 4, no. 2, pp. 235–243, 2011, doi: 10.3844/ajeassp.2011.235.243. DOI: https://doi.org/10.3844/ajeassp.2011.235.243

Published

2026-04-27

How to Cite

Syaifudin, Kholiq, A., & Maghfiroh, A. M. (2026). A Fuzzy Logic Approach for Temperature Stability in Infant Incubator Systems. Engineering Science Letter, 4(03), 157–163. https://doi.org/10.56741/IISTR.esl.001451

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