Paper Key : IRJ************197
Author: Gajanan Bapurao Narwade,Sourabh Sanjay Diwate ,Sushant Sunil Akhade,Omkar Pramod Kachare,Dr. Devata Raghunath Anekar ,Prof. Pallavi Sunil Bangare
Date Published: 09 Nov 2024
Abstract
The project titled "Development of IoT Based Healthcare Support System for Senior Citizen" focuses on providing continuous, real-time health monitoring for elderly patients using IoT technology, wearable sensors, and cloud computing. The system measures key health parameters such as heart rate, body temperature, blood pressure and oxygen level. Data collected from these sensors is transmitted to a cloud platform (ThingSpeak), allowing healthcare professionals to remotely monitor the patient's health status. In case of any abnormalities, alerts are sent to both patients and doctors through email service for timely intervention. The systems integration of machine learning and Recurrent Neural Networks (RNN) enhances anomaly detection, ensuring better predictive healthcare management by analyzing sequential health data patterns for early warning signs. The solution is scalable and adaptable, supporting the integration of additional sensors and healthcare applications in the future. By utilizing both RNN and machine learning for proactive healthcare management, this project improves patient care outcomes through real-time monitoring and automated alerts. The architecture is built using Arduino microcontrollers, communication modules like ESP8266, and cloud-based data storage. These technologies enable healthcare providers to offer continuous, remote care to senior citizens with greater accuracy in detecting abnormal conditions.
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