Paper Key : IRJ************728
Author: T. Sruthi,Punnam Thanmayee Reddy,Sanjana Peddi,Budda Sukrutha,Miriyala Sagar
Date Published: 12 Apr 2024
Abstract
This paper introduces a smart healthcare system utilizing IoT technology and Fuzzy Neural Networks (FNN) to monitor patients and assess their conditions. The system incorporates an ESP8266 microcontroller, MLX90614, and MAX30100 sensors for real-time data acquisition of vital health parameters like heart rate, SPO2 levels, and body temperature. The key feature is the integration of Fuzzy Neural Networks for intelligent decision-making in evaluating patientsconditions as normal or abnormal, accommodating the uncertainty inherent in healthcare data for precise assessments. Collected data is transmitted to a centralized system, accessible via a mobile application for healthcare professionals and patients to monitor real-time health metrics conveniently. Additionally, a web interface visualizes Fuzzy Logic system outputs, providing transparency into the decision-making process and enabling healthcare providers to understand how patient conditions are evaluated based on sensor data. By combining IoT and FNN, this Smart Healthcare System enables continuous monitoring and improves the accuracy of condition assessments, offering potential benefits such as timely interventions and reduced workload for healthcare professionals through intelligent decision support.
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