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HST 582
Biomedical Signal and Image Processing

Term: Spring

Time:
TBD
Location:
TBD
Course Website:
None
Prerequisite:
6.003, 2.004, 16.002, or 18.085; 6.041A or permission of instructor
Restrictions:
6 Engineering Design Points Meets with UG Subject HST.482
MIT Units:
3-3-6 (G-Level Credit)
Harvard Units:
N/A
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.