HST.582J/6.555J/16.456/HST.482/6.026
Biomedical Signal and Image Processing
| Term: | Spring 2020 |
| Lectures: | Tuesday and Thursday, 9:30 - 11:00am MIT Room 56-154 (map) |
| Labs: | Wednesday or Friday, 10:00am - 1:00pm, with considerable flexibility MIT Room 1-115 (map) |
| Overview: | This course presents the fundamentals of digital signal processing with emphasis on problems in biomedical research and clinical medicine. It covers basic principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of MATLABŪ lab exercises that provide practical experience with cardiologic data, speech signals, and medical images. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the physiological signals processed in the labs. |
| Links: | For registered students: Course materials available on Stellar/Learning Modules |
| Syllabus: | More details about the class available here |
| Staff: | Instructor: Julie Greenberg Email: jgreenbe@mit.edu Telephone: 617-258-6086 Office: E25-518 Instructor: William (Sandy) Wells Instructor: David Izquierdo Instructor: Andy Tsai Email: eisenach@mit.edu |