Biomedical Signal and Image Processing
Quiz 2 will be given on Thursday, May 5th at 9:30am in 56-114. An outline of material covered and sample problems are available on the Materials page.
PS5 is due on Thursday, April 28th. Solutions must be received either as a hard copy, submitted at the beginning of class, or by 11:59pm via email to email@example.com.
Lab 4 is due on Tuesday, April 26th. Solutions must be received either as a hard copy, submitted at the beginning of class, or by 11:59pm via email to firstname.lastname@example.org.
|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)
Instructor: Julie Greenberg
Instructor: William (Sandy) Wells
Instructor: Elfar Adalsteinsson
|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:
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 email@example.com. 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.)
Problem sets are graded out of 4 points as follows: