HST.482 Biomedical Signal and Image Processing

Class Info

Fundamentals of digital signal processing with emphasis on problems in biomedical research and clinical medicine. Basic principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. Lab projects, performed in MATLAB, provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs. Students taking graduate version complete additional assignments.

This class has 6.041A, 2.004, 6.003, 16.002, and 18.085 as prerequisites.

HST.482 will be offered this semester (Spring 2019). It is instructed by J. Greenberg, E. Adalsteinsson and W. Wells.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in 56-154.

This class counts for a total of 12 credits.

You can find more information at the MIT + HST.482 - Google Search site.

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