Rhythm Guard is a machine learning program that predicts arrhythmia events from electrocardiogram (ECG) and photoplethysmogram (PPG) data on a simple ESP32 microcontroller. It's an application where real-time feature calculations and machine learning predictions are done on a small device with limited resources.
Team members:
- Sarah Alabdulrazzak
- Kavya Sundaresan
- Maryem Abdullatif
- Noor Al-Rajab
Instructors:
- Dr. Vincent Leung
- Dr. Alan Wassyng
Stakeholder:
- Dr. Mohamed Hassan