Workshop on Machine Learning and Manifold Learning Models for Cardiac Signals 
Thursday 3.10.2024., A102 at 10AM
It is limited on 30 participants.
This session will start with an introduction to the fundamentals of artificial intelligence. Participants will work interactively with a runnable script, applying machine learning and manifold learning techniques to ECG signals to detect T-Wave Alternans (TWA), a micro-volt fluctuation considered a biomarker for cardiac conditions such as sudden cardiac death. The session will be conducted using Python via Google Colab.
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