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2024 | OriginalPaper | Chapter

IoT-Based Heart Disease Prediction System

Authors : Vemula Manvitha, Syed Musthak Ahmed, P. Ramchandar Rao, Vinit Kumar Gunjan

Published in: Modern Approaches in IoT and Machine Learning for Cyber Security

Publisher: Springer International Publishing

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Abstract

This chapter delves into the critical issue of heart disease, highlighting the alarming statistics and the urgent need for advanced monitoring systems. It provides an in-depth review of existing methods, such as those using Arduino UNO and sensors, and introduces a novel IoT-based system utilizing MSP430 for real-time health monitoring. The proposed system integrates temperature, EEG, and heartbeat sensors, transmitting data to a cloud database accessible by medical experts. The system's experimental setup and results are presented, showcasing its potential to revolutionize remote patient care. The chapter concludes with a discussion on the system's capabilities and its significance in emergency situations, emphasizing the need for continuous monitoring and early intervention to save lives.

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Literature
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Metadata
Title
IoT-Based Heart Disease Prediction System
Authors
Vemula Manvitha
Syed Musthak Ahmed
P. Ramchandar Rao
Vinit Kumar Gunjan
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-09955-7_27

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