MEDxAI ECG analysis.

Background.

At MEDxAI, DK Solution worked on AI models that classify ECG signals, with particular attention to rare heart conditions.

The project focused on researching and developing AI models for ECG classification, with an emphasis on deep learning and detecting rare heart conditions.

Challenge.

Rare conditions appear infrequently in the data, which makes classification difficult.

It was important that the solution was not only technically sound, but also fitted the way users and stakeholders work every day. Clarity, reliability and maintainability were therefore guiding principles from the start.

Approach and solution.

Deep learning models with careful validation and attention to imbalanced data.

DK Solution worked step by step: first clarifying the requirements and the problem, then choosing a suitable setup and building and testing it in phases. This left room to adjust along the way and ensured the end result fitted everyday practice.

Technologies used.

This project used these technologies and skills: Deep learning, ECG, Python. DK Solution always picks technology based on what the project needs, so the solution stays reliable, easy to maintain and ready for later.

Result.

Insight into how AI can support doctors in recognising abnormalities.

The result is a solid foundation to build on, with a solution that is clearly structured and easy to maintain.