HST.582J/6.555J/16.456J
Biomedical Signal and Image Processing

Term: Spring 2017
Lectures: Time: Tuesday and Thursday, 9:30 - 11:00am
Location: 56-154 (map)
Labs: Section 1: Wednesday, 10:00am - 1:00pm
Section 2: Friday, 10:00am - 1:00pm
Location: 14-0637 (map)
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: Seongjun Park
Email: sj_park@mit.edu
Office: 8-433
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 MATLABĀ® 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.
Values: In this class, we aim to serve a diverse community of students by creating an inclusive and supportive learning environment. Collectively, our behavior and actions should always reflect MIT's shared values of excellence, openness, integrity, and mutual respect. Moreover, a student's well being is always our first concern; academic accomplishments should never come at the expense of one's mental or physical health.
Assignments: Problem sets and lab reports may be submitted as either:
  • Hard copy turned in at the beginning of class on the due date;
  • OR
  • A single pdf file emailed by 11:59pm on the due date.
    • Emailed submissions must be sent to 6.555-submit@mit.edu
    • The file should follow this naming convention: Lastname_Firstname_AssignmentTypeNumber, for example, Greenberg_Julie_Lab1.pdf or Park_Seongjun_PS3.pdf
    • PDF files must be software generated or scanned; 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.)
    Grading: 60% lab reports (5 total)
    25% quizzes (2 total)
    10% problem sets (5 total)
    5% class participation

    Problem sets are graded as follows:

    4: Few to no errors, indicating a thorough understanding of the material.
    3: Some errors, suggesting an adequate understanding of the material.
    2: Numerous errors, suggesting significant gaps in understanding of the material.
    1: Incomplete, that is, some sections not attempted.
    0: Missing or submitted late without prior arrangement.