Biomedical Signal and Image Processing

General Information:

Semester: Spring 2016
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)
Office Hours: Time: Tuesday, 3:30 - 5:00pm; Thursday, 12:30 - 2:00pm
Location: 32-D458 (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 Assistant: Christopher Dean
Email: deanc@mit.edu
Office: 32-D458

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.
Submission: Problem sets and lab reports must be submitted as either:
  • Hard copy, turned in at the beginning of class on the due date;
  • OR
  • A single pdf file sent to 6.555-submit@mit.edu by 11:59pm on the due date.
  • PDF files must be scanned or software generated; photographs of handwritten pages are not acceptable. Please do NOT submit both hard copy and electronic versions of the same assignment.

    Extensions: Requests for extensions beyond the original due date should be made in advance via email to 6.555-submit@mit.edu. Please explain the circumstances necessitating the extension and propose a revised due date. Here are some examples of the types of circumstances that will generally be met with sympathy and flexibility: illness, conference travel, interview travel, multiple major assignments due in other classes on the same day.

    Late Penalty: In the absence of an approved extension, late assignments will be penalized one full point for each two days past the original deadline. (Problem sets are graded out of 4 points; labs are graded out of 10 points.)

    • 60% lab reports (5 total)
    • 25% quizzes (2 total)
    • 10% problem sets (5 total)
    • 5% class participation

    Problem sets are graded out of 4 points 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.