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@article{158735,
        author = {Abhishek Bante and Sonal Kawale and Maithili Deshmukh and Siddhi Nakade and Nachiket Pouniker and Harshad kubade},
        title = {AI Based ECG Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {602-605},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158735},
        abstract = {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. },
        keywords = {Health care, Cardiovascular, ECG, Internet of Things. },
        month = {},
        }