The IEEE SPS School on "AI-based Medical System Design for Biomedical Signals" is a 5-day event that combines lectures, hands-on workshops, and interactive sessions to facilitate learning and knowledge sharing among participants. The event is organized by the IEEE Signal Processing Society (SPS), Madras Section, and brings together experts, researchers, and practitioners from academia, industry, and healthcare domains.

The technical program of the event covers a wide range of topics related to AI-based medical system design for biomedical signals. The lectures and workshops are delivered by renowned experts in the field who have extensive experience in both signal processing and artificial intelligence. Participants will gain insights into state-of-the-art techniques, methodologies, and algorithms used in processing and analyzing biomedical signals using AI approaches.

The event emphasizes a practical approach, encouraging participants to apply their knowledge through hands-on exercises and project-based activities. This seasonal school provides participants with opportunities to work with real-world biomedical signal datasets and develop AI models for signal-processing tasks. The instructors guide participants in implementing machine learning and deep learning algorithms, exploring various architectures, and optimizing performance metrics.

Throughout the event, there are interactive sessions where participants can engage in discussions, ask questions, and share their experiences. These sessions foster collaboration, networking, and the exchange of ideas among attendees, creating a vibrant learning environment.

The IEEE SPS School on AI-based Medical System Design for Biomedical Signals aims to equip participants with a comprehensive understanding of AI techniques applied to biomedical signals. By the end of the event, participants will have gained the knowledge and skills necessary to design and develop AI-based medical systems for signal analysis and interpretation.