Cardiac Arrhythmia Detection Using IoT and Machine Learning: Cardiovascular diseases are among the leading causes of death worldwide - Softcover

Manoj, Sumitha; Owais A, Muhammad

 
9786209920554: Cardiac Arrhythmia Detection Using IoT and Machine Learning: Cardiovascular diseases are among the leading causes of death worldwide

Inhaltsangabe

Traditional ECG monitoring systems are mostly hospital-based and require patients to remain under clinical supervision. These systems are often expensive, bulky, and unsuitable for continuous real-time monitoring in daily life. To overcome these limitations, the proposed system integrates Internet of Things (IoT) technology, wearable ECG sensors, cloud computing, and Machine Learning (ML) algorithms to create an intelligent cardiac monitoring and arrhythmia detection system.

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Über die Autorin bzw. den Autor

I am Dr. Sumitha Manoj, with a PhD in Embedded Systems from Jain University (2018), M.Tech. (CAID) from Malnad College of Engineering, VTU (2010), and B.E. (ECE) from Golden Valley Institute of Technology, VTU (2003). I have over 11 years of teaching experience and have been serving as an Associate Professor at RRCE since June 2011.

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