14An Intelligent Heartbeat Management System Utilizing Fuzzy Logic

K. Suresh Kumar1*, R. Sudha2, T. Suguna3 and M. K. Dharani4

1MBA Department, Panimalar Engineering College, Varadarajapuram, Poonamallee, Chennai, India

2Department of CSE, Vasavi College of Engineering, Hyderabad, India

3Department of ECE, Panimalar Engineering College, Chennai, India

4Department of Artificial Intelligence, Kongu Engineering College, Erode, Tamil Nadu, India


Currently, there is a growing interest in the area of health monitoring management. Since all family members are likely to be busy and occupied, monitoring the health status of elderly individuals has been an increasingly critical matter. The present study aims to investigate a system has that been devised to enable caretakers to access the temperature and pulse rate data of individuals under their care who are being monitored at home. It is possible to obtain data regarding the air quality within a household, which can subsequently prompt the system to produce an alert if any hazardous gases are identified. A fuzzy logic methodology has been employed to perform and analyze the data obtained from temperature, heart rate, and gas sensors. Outliers will be detected by utilizing both trained data and sensor data. The data that have been gathered and transmitted to the cloud have the capability of being retrieved through the utilization of the ThingSpeak platform. The forthcoming research endeavors involve automating message transmission ...

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