IoT and ML-based ECG Monitoring System for Real-time Heart Health Insights and Early Disease Prediction
Original price was: ₹15,000.₹11,500Current price is: ₹11,500.
This project implements a cutting-edge ECG monitoring system designed to provide real-time heart health insights and early detection of cardiovascular diseases. Using an advanced ECG sensor, the system continuously tracks heart signals and integrates with an IoT platform for seamless data transmission, cloud storage, and remote access.
Machine learning algorithms analyze ECG patterns to detect anomalies, predict potential cardiac issues, and provide actionable recommendations for preventive care. The system can send instant alerts in case of abnormal heart activity, making it highly beneficial for personal healthcare, clinical monitoring, and telemedicine. A mobile app offers live ECG monitoring, detailed trend analysis, and personalized health reports for proactive health management.
Key Features:
- Continuous ECG monitoring with IoT-enabled real-time data access.
- ML-powered anomaly detection and early disease prediction capabilities.
- Cloud integration for long-term health data storage and analysis.
- Mobile app for live tracking, health insights, and emergency alerts.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an ideal choice for students exploring IoT and ML applications in healthcare technology.
