Biomedical Signal Processing encompasses the analysis and interpretation of biological signals to enhance medical diagnostics and treatment methodologies. This course provides participants with a comprehensive understanding of the theoretical foundations and practical applications of signal processing techniques in the biomedical field. Through project-based learning, attendees will gain hands-on experience in processing various types of biomedical signals, including ECG, EEG, and EMG, thereby equipping them with essential skills to tackle real-world challenges.
Participants will engage in interactive sessions that not only cover the core principles of signal processing but also encourage collaboration and innovation. The course culminates in a final project where learners will apply their acquired knowledge to develop a solution addressing a specific biomedical problem. Successful projects may be eligible for publication in Cademix Magazine, providing an opportunity for participants to showcase their work to a broader audience.
Fundamentals of Biomedical Signal Processing
Time-Frequency Analysis Techniques
Digital Filtering Methods for Biomedical Signals
Feature Extraction from Physiological Signals
Machine Learning Applications in Signal Processing
Signal Quality Assessment and Noise Reduction
Real-time Signal Processing Algorithms
Case Studies in ECG and EEG Analysis
Development of Biomedical Signal Processing Software Tools
Final Project: Design and Implementation of a Biomedical Signal Processing Solution