Biomedical Signal and Image Processing
MIT OpenCourseWare offers this advanced course on digital signal processing applied to physiological data. Lectures cover principles for handling deterministic and random signals, including data acquisition, filtering, coding, feature extraction, and modeling, alongside background on the biological signals involved. The core of the course is a weekly lab sequence run in MATLAB within an electronic classroom, giving students hands-on practice with real examples drawn from cardiology, speech processing, and medical imaging. Lecture notes, lab materials, and assignments are freely available through MIT OpenCourseWare under a Creative Commons license, with no certificate offered. The combination of theoretical grounding and applied lab work makes this suited to students with prior signal processing or engineering background who want to see the techniques applied directly to clinical and research problems.