Smart Monitoring System For Asthma Patients

International Journal of Electronics and Communication Engineering

© 2020 by SSRG - IJECE Journal

Volume 7 Issue 5

Year of Publication : 2020

Authors : Niranjana.S, Hareshaa.S.K, Irene Zibiah Basker,Dr.Jose Anand

10.14445/23488549/IJECE-V7I5P102

How to Cite?

Niranjana.S, Hareshaa.S.K, Irene Zibiah Basker,Dr.Jose Anand, "Smart Monitoring System For Asthma Patients," SSRG International Journal of Electronics and Communication Engineering, vol. 7,  no. 5, pp. 5-9, 2020. Crossref, https://doi.org/10.14445/23488549/IJECE-V7I5P102

Abstract:

Asthma endures a condition in which the airways narrow, swell and produce extra mucus. The causes are prejudiced by genetic and environmental factors, in which environmental factors have a great impact. The symptoms of asthma are breathing difficulty and trigger coughing, wheezing, and shortness of breath. But still, a direct cause of asthma is unknown; therefore, it cannot be relieved but can be managed by proper guidance and treatment. Self-management remains an essential factor for the proper treatment of asthma. By considering these factors, we proposed a solution. This paper provides a portable device integrated with an android app that monitors the environmental factors faced by asthma patients and their health parameters and transmits this data to the cloud. These parameters are typically measured using different sensors such as temperature and humidity sensors, gas sensors, and pulse rate sensors. The measured parameters are polluted gas, temperature, humidity, specific location, and pulse rate of the user. An android app consists of AST (Asthma Symptom Test) to predict the probability of asthma, and it gives necessary precautions to the patients by gathering details from the cloud, thereby preventing them from getting a severe attack. This paper aims to provide a compact device and user-friendly app integrated into the device. The future scope is to increase the system's feasibility by including the key concepts of machine learning for user's accurate tracking.

Keywords:

Asthma, Self-management, Cloud, Android-app

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