Design and Development of Smart Health Risk Prediction System Using Iot and Fuzzy Logic

  • Dekka Satish, K Narasimha Raju, M. Jagan Sekhar, V. Suneetha, B. Sripriya, Koduru Suresh

Abstract

Nowadays Health-care Environment has developed science and knowledge based on Wireless-Sensing node Technology oriented. Patients are facing a problematic situation of non-predictable death’s due to the specific reason of heart problems and attacks which is because of nonexistence of good medical maintenance to patients at the needed time. This project is for specially monitoring the patients and informing doctors and the patients loved ones. So we are proposing an innovative project to avoid such sudden death rates by using Patient Health Monitoring system that uses sensor technology and uses internet to communicate to the loved ones in case of problems. This system uses Temperature and heartbeat sensors for tracking patients’ health. Both the sensors are connected to the Node MCU. To track the patient health micro-controller is in turn interfaced to a website and wi-fi connection to send the data to the web-server (wireless sensing node). In case of any abrupt changes in patient heart-rate or body temperature alert is sent about the patient using IoT. This system also shows patients temperature and heartbeat tracked live data with timestamps over the Internetwork. Thus, Patient health monitoring system based on IoT uses internet to effectively monitor patient health and helps the user monitoring their loved ones and saves lives.

Published
2021-11-18
How to Cite
Dekka Satish, K Narasimha Raju, M. Jagan Sekhar, V. Suneetha, B. Sripriya, Koduru Suresh. (2021). Design and Development of Smart Health Risk Prediction System Using Iot and Fuzzy Logic. Design Engineering, 13005 - 13019. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/6418
Section
Articles