Challenge Hackathon

A hackathon related to the George B. Moody PhysioNet Challenge 2024 will be held in the building of the Sunday Symposium (see here for directions) starting at 9am on Sunday September 8. For details, check the challenge website.

Leveraging Artificial Intelligence for Enhanced Processing of Biomedical Signals with MATLAB

In recent years, the integration of artificial intelligence (AI) techniques has revolutionized biomedical signal analysis. Researchers can leverage AI to extract valuable insights from biomedical signals, enabling more accurate diagnostics, personalized monitoring, and effective treatment strategies. This session explores the potential of AI algorithms, including machine learning and deep learning, to enhance biomedical signal interpretation. During an interactive session, participants will use MATLAB Online on their laptops to explore the following topics:

• Introduction to tools used for AI-based signal processing,
• Detection of anomalies in ECG signals with deep learning-based anomaly detection
• Reconstruction of electrocardiogram (ECG) signals using wavelets and autoencoder networks
• Separation of fetal and maternal ECG signals

Join us in this 2h workshop to explore cutting-edge techniques. Discover practical tools and learn valuable tips for navigating the world of biomedical data analysis and AI. The workshop is suitable for individuals with all levels of experience in signal processing. While no prior knowledge is required, experienced users will benefit from the introduction of new tools, tips, and tricks for applying advanced techniques to biomedical signals. The workshop will be held on the KIT campus from 9am to 11am on Sunday September 8.

Requirements: Attendees need to bring their laptops with WiFi capabilities.