EDUCATION LOG
ACADEMICS
ID:PUB-001
RESEARCH PUBLICATION
Heart Abnormality Detector
JOURNALSTAPS · Scopus · Vol.11 · 2025
Portable ECG Monitoring with ML Classification
Developed a portable, low-cost ECG monitoring device capable of detecting heart abnormalities in real-time. Using Arduino UNO, ESP-32, AD8232 ECG sensor, pulse sensor, and a 16×2 LCD, we built a complete system for ECG acquisition, signal processing, and wireless transmission. The device integrates a TensorFlow Lite ML model that classifies ECG beats as healthy or unhealthy by analysing PQRST values, as explained in our paper STAPS-3761 F.
KEY FEATURES
- Real-time ECG signal monitoring
- Wireless cloud transmission via ESP-32
- ML-based heartbeat classification
- Portable, low-cost, easy-to-use hardware
- Live monitoring dashboard built with Next.js
ID:EDU-VIT
Vellore Institute of Technology, Amaravati
Aug 2024 — Aug 2028
Bachelor of Technology in Computer Science
CGPA8.86/ 10