Real-Time Detection and Classification of Heart Arrhythmia

Luis Daniel Pambid

ML Engineer
Fullstack Engineer
Desktop Apps Development
Python
PyTorch
TensorFlow

The objective of this study is to classify heart arrythmias such as cardiac ischemia, atrial fibrillation, and ventricular tachycardia in the ECG results of vape smokers using a real-time ECG feature detection algorithm.







Partner With Luis Daniel
View Services

More Projects by Luis Daniel