Biomedical Signal and Image Processing

New Announcements:

We recommend PS4 be turned in on Thursday 4/9 instead of the scheduled date 4/14 to avoid having two assignments due on the same week.

We will accept PS1 (problems 1 and 2) in lecture on Thursday 2/12 OR in lab on Friday 2/13. PS1 problem 3 can be turned in this week with PS1 or next week with PS2- in either case please put PS1 problem 3 on a separate page or pages (with your name included of course) for ease of grading.

The Spring 2015 offering of Biomedical Signal and Image Processing begins on February 3th at 9:30am in 56-114. Hope to see you then!

General Information:

Semester: Spring, 2015
Lectures: Time: Tuesday and Thursday, 9:30 - 11:00am
Location: 56-114 (map)
Laboratories: Section 1:Wednesday, 10:00am - 2:00pm
Section 2: Friday, 10:00am - 2:00pm
Location: 14-0637 (map)
Teaching 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: Elfar Adalsteinsson
Email: elfar@mit.edu

Teaching Assistants: Kevin Chen and Rachelle Horwitz-Martin
Emails: ktchen@mit.edu horwitzr@mit.edu
Lab Hours: WF, 10am-2pm.
Office hours by appointment.

Overview: This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers 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 labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLABŪ during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.
  • 60% lab reports (5 total)
  • 25% quizzes (2 total)
  • 10% problem sets (5 total)
  • 5% class participation

Problem sets are graded on a 0-4 scale, as follows:

Problem set contains few to no errors, indicating a thorough understanding of the material.
Problem set contains some errors, indicating a less-than-thorough understanding of the material.
Problem set is complete, but numerous errors indicate a lack of understanding of the material.
Problem set is incomplete.
Problem set not handed in, or is handed in late without prior arrangement.