Real-Time Detection and Classification of Heart Arrhythmia
0
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.
Like this project
0
Posted May 26, 2024
The objective of this study is to classify heart arrythmias such as cardiac ischemia, atrial fibrillation, and ventricular tachycardia in the ECG results.
Likes
0
Views
2
Tags
ML Engineer
Fullstack Engineer
Desktop Apps Development
Python
PyTorch
TensorFlow
Vehicle Violation Detection using Faster R-CNN and SPP-Net
Detection of Chemical Type and Concentration in Water
Study Planner Mobile App
Automated Disinfectant Through Misting