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Omdena

Local Chapter project

Optimization Project – Electrocardiogram Interpretation Using Computer Vision

Computer Vision
Start date
December 8, 2021
Finish date
January 5, 2022
Project status
completed
Optimization Project – Electrocardiogram Interpretation Using Computer Vision

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.

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.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.

This challenge is hosted by

No public hosting chapter is linked to this project.

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