Optimization Project – Electrocardiogram Interpretation Using Computer Vision

Start Date: December 8, 2021 | 5 years ago

Challenge Background

Goal of the Project

Collect Knowledge about ECG interpretation
Get a dataset of ECG with classification
Train a computer vision model to be able to classify the ECG
Deploy the model in a real environment with specialist supervision to test the accuracy.
A good model must never hide an alarming case and consider it as normal or less risky so this is the major performance score that will be monitored.

Project Timeline

What you'll learn

The participants will be able to apply AI for one of the most recurrent scenarios in healthcare: the classification of medical imaging. E-health is starting to deploy AI and this project will bring valuable learning opportunities.

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Form

Application Closed.