Design, Simulation and Validation of a Microcontroller-Based Multi-Parameter Physiological and Environmental Monitoring System for Asthma Care
DOI:
https://doi.org/10.33003/fjs-2026-1017-5895Keywords:
Asthma Care, Microcontroller, Physiological Monitoring, Environmental Monitoring, Validation, Simulation, Health Monitoring SystemAbstract
Asthma management requires monitoring of physiological conditions and environmental factors that may contribute to symptom worsening. This study presents the design, simulation, and validation of a microcontroller-based physiological and environmental monitoring system for asthma care. The system monitors body temperature, pulse rate, electrocardiography (ECG), room temperature, room humidity, and air quality using LM35, MAX30100, AD8232, DHT11, and MQ-35 sensors, respectively. An ESP8266 microcontroller was used for sensor integration and data processing, while an LCD provided local display of the measured parameters. The sensors were validated against a digital thermometer, thermo-hygrometer, Polar H10, and multi-gas analyzer. The results showed generally good agreement with the reference instruments, with mean absolute differences of 0.18 °C for the LM35, 0.33 °C for DHT11 temperature, 0.23% for DHT11 humidity, 0.19 bpm for MAX30100 pulse rate, 0.87% for MQ-35 air quality, and 2.17bpm for the ECG sensor. The complete system was simulated in Proteus and successfully demonstrated simultaneous monitoring of the selected physiological and environmental parameters. The findings indicate that the proposed system provides a low-cost platform for monitoring conditions relevant to asthma care. However, it is not intended to diagnose asthma or determine disease severity. Incorporating respiratory rate, SpO₂, peak expiratory flow, wheeze detection, and clinical validation in future work could enhance its application to dedicated asthma monitoring.
References
Agache, I., Canelo-Aybar, C., Annesi-Maesano, I., Cecchi, L., Rigau, D., Nieto-Gutierrez, W., Song, Y., Cantero-Fortiz, Y., Roqué, M., Vasquez, J. C., Solà, I., Biagioni, B., Chung, F., D’Amato, G., Damialis, A., Domínguez‐Ortega, J., Galán, C., Gilles, S., Giovannini, and M., . . . Jutel, M. (2024). The impact of outdoor pollution and extreme temperatures on asthma‐related outcomes: A systematic review for the EAACI guidelines on environmental science for allergic diseases and asthma. Allergy, 7(9), 1725 - 1760. https://doi.org/10.1111/all.16041
Assaad, R. H., Mohammadi, M., and Poudel, O. (2025). Developing an intelligent IoT-enabled wearable multimodal biosensing device and cloud-based digital dashboard for real-time and comprehensive health, physiological, emotional, and cognitive monitoring using multi-sensor fusion technologies. Sensors and Actuators A: Physical. (381). https://doi.org/10.1016/j.sna.2024.116074
Anan SR, Hossain MA, Milky MZ, Khan MM, Masud M, and Aljahdadi S (2021). Research and development of an IoT-Based remote Asthma Patient Monitoring system. Journal of Healthcare Engineering. doi:10.1155/2021/2192913. Retraction in: Journal of Healthcare Engineering. doi:10.1155/2023/9809127. PMID:34868511; PMCID: PMC8639242
Kassem, A., Tamazin, M., and Aly, M. (2021). A Context-Aware IoT-Based Smart Wearable Health Monitoring System. 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 1-6. https://doi.org/10.1109/iccspa49915.2021.9385761
Kassem, A., Tamazin, M., and Aly, M. (2020). An Intelligent IoT-Based Wearable Health Monitoring System. 373-389. https://doi.org/10.1007/978-3-030-39847-7_29
Koppelman GH, Pino-Yanes M, Melén E, Powell P, Bracke KR, Celedón JC, Brusselle GG. Genetic and environmental risk factors for asthma: towards prevention. Lancet Respir Med. 2025 Nov;13(11):1011-1025. doi: 10.1016/S2213-2600(25)00256-5. Epub 2025 Sep 29. PMID: 41038211.Liu, M., Wang, Y.-G., Chen, J., Zhang, J., Xu, C., Tang, W., Zhang, Q., and Li, H. (2024). Non‐Invasive Flexible Electro‐Mechanical Sensors for Human Respiratory Monitoring and Chronic Disease Management. Advanced Materials Technologies, 9. https://doi.org/10.1002/admt.202302010
Madavarapu, S. M. I. J. B., Nachiyappan, S., Rajarajeswari, S., Anusha, N., Venkatachalam, N., Charan, R., Madavarapu, B., Ahilan, A., Bharathi, J., Jhansi, M., and Madavarapu, B. (2024). HOT Watch: IoT-Based Wearable Health Monitoring System. IEEE Sensors Journal, 24(20), 33252-33259. https://doi.org/10.1109/jsen.2024.3424348
Mirabelli MC, Vaidyanathan A, Flanders WD, Qin X, and Garbe P (2016). Outdoor PM2.5, Ambient Air Temperature, and Asthma Symptoms in the Past 14 Days among Adults with Active Asthma. Environ Health Perspect. 2016 Dec;124(12):1882-1890. doi: 10.1289/EHP92. Epub 2016 Jul 6. PMID: 27385358; PMCID: PMC5132644.
Mirza, M., Periyasamy, V., Ramesh, M., Mariappan, S., Rajagopal, S., Suriyan, K., and Venusamy, K. (2024). Internet of Things-based health monitoring system using wearable sensor networks. International Journal of Reconfigurable and Embedded Systems (IJRES). 13(2). https://doi.org/10.11591/ijres.v13.i2.pp424-430
Obeng, A., Roh, T., Moreno-Rangel, A., and Carrillo, G. (2026). Evaluating the Effectiveness of Combined Indoor Air Quality Management and Asthma Education on Indoor Air Quality and Asthma Control in Adults. Atmosphere. 17(1), 84; https://doi.org/10.3390/atmos17010084
Oh, J., Kim, S., Kim, M., Abate, Y., ElHafeez, S. A. A., Abdelkader, A., Abdi, P., Abdulah, D. M., Aboagye, R., Abolhassani, H., Abtahi, D., Abualruz, H., Abu-Gharbieh, E., Aburuz, S., Adane, M. M., Addo, I. Y., Adeleke, O., Aden, B., Adnani, and Q., . . . Yon, D. (2025). Global, regional, and national burden of asthma and atopic dermatitis, 1990-2021, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021.. The Lancet. Respiratory medicine. https://doi.org/10.1016/s2213-2600(25)00003-7
Islam, K., Alam, F., Zahid, A. I., Khan, M. M., and InamAbbasi, M. (2022). Internet of Things (IoT)-based real-time vital physiological parameter monitoring system for remote asthma patients. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2022/1191434
Khan, M. M., Mahmud, T., Soroni, F., Alam, M., Hussain, M., and Amin, A. (2021). Design of a low-cost wearable heart and respiratory rate measurement device using an Arduino and Bluetooth module. In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–6). https://doi.org/10.1109/ICCCNT51525.2021.9579536
Pavlovsky, A. V., Filipas, A. A., and Sorokozherdiev, V. O. (2026). Methods for Monitoring the Human Respiratory System: A Review. IEEE Sensors Journal, 26, 3514-3539. https://doi.org/10.1109/jsen.2025.3646047
Raji, A., Kanchana Devi, P., Golda Jeyaseeli, P., and Balaganesh, N. (2016). Respiratory monitoring system for asthma patients based on IoT. In 2016 Online International Conference on Green Engineering and Technologies (IC-GET) (pp. 1–6). https://doi.org/10.1109/GET.2016.7916737
Sai, G., Ganesh, K., Kumar, D. J., Veeraswamy, D., and Kumar, D. B. R. (2025). IoT-based integrated environmental and health monitoring system for asthma patient management. International Journal of Scientific Research in Engineering and Management. https://doi.org/10.55041/ijsrem51306
Shu, Z., Yang, X., Li, B., P., Wu, Y., Li, Y., Guo, M., Du, C., Fang, F., and Yao, R. (2026). The Synergistic Effects of Fine Particulate Matter and High Humidity on Allergic Asthma: An Association with TRPV4/MAPK Pathway Activation. Toxics, 14. https://doi.org/10.3390/toxics14030219
Taylor, L., Ding, X., Clifton, D. B., and Lu, H. Y. (2020). Wearable Vital Signs Monitoring for Patients With Asthma: A Review. IEEE Sensors Journal, 23, 1734 - 1751. https://doi.org/10.1109/jsen.2022.3224411
Thakur, A., Aggarwal, P., and Siddiqui, U. (2018). Analysis of Pulmonary Diseases Using Wireless Breathing Rate and Pulse Rate Monitoring System. 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), 1041-1044. https://doi.org/10.1109/icicct.2018.8473158
Varopichetsan, S., Bunplod, N., Dejchanchaiwong, R., Tekasakul, P., and Ingviya, T. (2025). Short-term exposure to fine particulate matter and asthma exacerbation: a large population-based case-crossover study in Southern Thailand. Environmental Health, 24. https://doi.org/10.1186/s12940-025-01182-7
Wang, Z., Li, Y., Gao, Y., Fu, Y.-L., Lin, J., Lei, X., Zheng, J., and Jiang, M. (2023).
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Kennedy Gideon Gaya, Ali Danladi

This work is licensed under a Creative Commons Attribution 4.0 International License.