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:
Join us in this 3h 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 in the building of the Sunday Symposium (see here for directions) from 8:30am to 11:00am on Sunday September 8.
Requirements: Attendees need to bring their laptops with WiFi capabilities.
Sign up here. Space is limited.
A hackathon closely related to the George B. Moody PhysioNet Challenge 2024 will be held in the building of the Sunday Symposium (see here for directions) on Sunday, September 8 from 11:00am to 6:00pm. A hands-on session to help you get started will occur from 11:00am to 11.30am. Swag (including a USB stick with the Challenge training data and example code) will be available to early attendees. For details, check the challenge website.
Requirements: Attendees need to bring their laptops with WiFi capabilities. Attendees do not need to have entered the hackathon before, and may join existing or new teams. Feel free to look up the most interesting teams in the preprints and email them!
Sign up here. Space is limited.
