Design of Smart Health Monitoring System for Disease Detection

Mukul; Vivek Verma

doi:10.54060/jieee.2023.76

Authors

Mukul Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India
Vivek Verma Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India

DOI:

https://doi.org/10.54060/jieee.2023.76

Keywords:

Arduino UNO, BPM (Beats Per Minute), Electrocardiogram, Sensors, Prognosis

Abstract

The most valuable asset is one's health. However, there isn't much free time for today's people to keep an eye on their health. A health monitoring system that tracks users automatically is necessary to alert users to their health status. Rapid advancement in internet and technology provides improvement in the health system. In the conventional method, people are required to visit their doctors on a regular basis for health checkups. The use of technology in the health monitoring system can save valuable time by having the health status automation. Additionally, the cloud, which revolutionized data trans-formation, contributes to the development of a better and more dependable health monitoring system. One of the most important technology-based systems has been the healthcare monitoring systems, humans struggle with the problem of premature mortal-ity because people with various ailments don't receive prompt medical care. The main objective was to create a trustworthy smart health monitoring system so that medical professionals could keep an eye on their patients, whether they were in a hospital or at home, using the proposed integrated healthcare system to ensure better and more dependable care. A prototype of health monitoring system is created, and it will have a number of cutting-edge features that will revolutionize the healthcare sector, with less reliance on human labor and greater efficiency in tasks like temperature monitoring, ECG-analysis, ambient temperature and humidity supervising, oxygen level recording, and BPM monitoring, this system will work autonomously. Body temperature, BPM, oxygen, temperature, and humidity sensors are included in the system to help maintain optimal health. The system's accuracy, reliability, sensitivity, usability, and scalability will be tested through comprehensive testing and validation in actual healthcare settings. This enables proactive and individualized health management. The results are anticipated to develop healthcare technologies and improve the standard of healthcare services.

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