Development of IoT Based System for Early Detection of Asthma
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Abstract
When airborne dust enters the respiratory system, it causes inflammation and constriction of the airways, making asthmatics' breathing more difficult. Inhaling dust particles, which frequently contain allergens, greatly exacerbates respiratory problems and raises the possibility of asthma episodes. The project intends to deliver individualised alerts based on dust density levels in real-time asthma monitoring, recognising a need in the market for affordable IoT solutions. Using an ESP8266 microcontroller and GP2Y1010AU0F dust sensor, the system provides timely alerts and continuous monitoring to improve asthma management. The process entails using Blynk for real-time data visualisation and analysis and connecting the dust sensor with the ESP8266 microcontroller. The results highlight the system's effectiveness in providing preventive asthma care by demonstrating the successful implementation of Blynk notifications caused by increasing dust density. In conclusion, this Internet of Things-based approach has the potential to enhance patient care through tailored asthma monitoring. Some of the limitations are the wide range of sensor accuracy, the dependence on IoT infrastructure, and the emphasis on dust as the main asthma trigger.
Keywords
Asthma, Dust, Pollution, Internet, of, Wearable, Device, Remote, Monitoring##plugins.themes.academic_pro.article.details##
References
- Abbasi, S. A. (2007b). Dust explosions–Cases, causes, consequences, and control. Journal of Hazardous Materials, 140(1–2), 7–44. https://doi.org/10.1016/j.jhazmat.2006.11.007
- Alharbi, E., Nadeem, F., & Cherif, A. (2021b). Predictive models for personalized asthma attacks based on patient’s biosignals and environmental factors: a systematic review. BMC Medical Informatics and Decision Making, 21(1). https://doi.org/10.1186/s12911-021-01704-6
- D’Amato, G., Holgate, S. T., Pawankar, R., Ledford, D. K., Cecchi, L., Al‐Ahmad, M., Al-Enezi, F., Al‐Muhsen, S., Ansotegui, I. J., Baena-Cagnani, C. E., Baker, D. J., Bayram, H., Bergmann, K., Boulet, L., Buters, J., D’Amato, M., Dorsano, S., Douwes, J., Finlay, S., . . . Annesi‐Maesano, I. (2015b). Meteorological conditions, climate change, new emerging factors, and asthma and related allergic disorders. A statement of the World Allergy Organization. World Allergy Organization Journal, 8, 25.
- Hsu, N. Y., Lee, C., Wang, J., Li, Y. C., Chang, H., Chen, C. Y., Bornehag, C., Wu, P. T., Sundell, J., & Su, H. (2011b). Predicted risk of childhood allergy, asthma, and reported symptoms using measured phthalate exposure in dust and urine. Indoor Air, 22(3), 186–199.
- Jeffery, P. K. (2001b). Remodeling in asthma and chronic obstructive lung disease. American Journal of Respiratory and Critical Care Medicine, 164(supplement_2), S28–S38.
- Keglowich, L., & Borger, P. (2015b). The Three A’s in Asthma – Airway Smooth Muscle, Airway Remodeling & Angiogenesis. The Open Respiratory Medicine Journal, 9(1), 70–80.
- Khasha, R., Sepehri, M. M., Mahdaviani, S. A., & Khatibi, T. (2018b). Mobile GIS-based monitoring asthma attacks based on environmental factors. Journal of Cleaner Production, 179, 417–428.
- Miller, J. D. (2018b). The role of dust mites in allergy. Clinical Reviews in Allergy & Immunology, 57(3), 312–329.