Real -time ECG monitoring and disease detection using machine learning

28 Jun, 2024
Description of Project:

The Real-Time ECG Monitoring and Disease Detection system functions by continuously capturing ECG signals using a wearable sensor. These signals are transmitted to a cloud-based platform via IoT technology. Advanced machine learning algorithms process the data in real- time, detecting any cardiac abnormalities. Users can access the analyzed data through a user-friendly web application, detected disease for proactive health management. This system ensures secure data transmission and maintaining patient privacy.

Supervisor: Dr. Rizwan Amirzada

Group Members:

Taimoor Altaf

Muhammad Afnan

Umama Iqbal