AI Based ECG Monitoring System
Abhishek Bante, Sonal Kawale, Maithili Deshmukh, Siddhi Nakade, Nachiket Pouniker, Harshad kubade
Health care, Cardiovascular, ECG, Internet of Things.
This paper focuses on an AI-based ECG monitoring system for improved patient care. It utilizes machine learning algorithms to monitor and diagnose heart conditions and provides accurate medical data for doctors and hospitals. The system leverages advanced techniques such as convolutional neural networks and recurrent neural networks to identify abnormal beats, detect arrhythmias, and measure heart rate variability. It also offers an intuitive user interface to enable easy access to ECG data. This system is designed to provide a reliable and cost-effective solution for continuously monitoring and diagnosing heart conditions.
Article Details
Unique Paper ID: 158735

Publication Volume & Issue: Volume 9, Issue 10

Page(s): 602 - 605
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