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
Email: sw@bwh.harvard.edu

Instructor: David Izquierdo
Email: davidizq@nmr.mgh.harvard.edu

Instructor: Andy Tsai
Email: Andy.Tsai@childrens.harvard.edu

Teaching Assistant: Erik Eisenach
Email: eisenach@mit.edu