University of Wisconsin Madison
Medical Instrumentation (E C E 462) Syllabus
Course Learning Outcomes
    Course Learning Outcome
  • 1
    Design and implement linear digital filters including integer-coefficient filters for processing biomedical signals including electrocardiograms.
  • 2
    Write software for analyzing biomedical signals to find clinically-significant features like the QRS complex in the ECG.
  • 3
    Apply template-matching techniques to biomedical feature recognition.
  • 4
    Implement algorithms designed specifically for biomedical signal data reduction.
Details
Medical Instrumentation
E C E 462 ( 3 Credits )
Description
Design and application of electrodes, biopotential amplifiers, biosensors, therapeutic devices. Medical imaging. Electrical safety. Measurement of ventilation, blood pressure and flow. Lecture and lab.
Prerequisite(s)
ECE 342 or cons inst
Department: ELECTRICAL AND COMPUTER ENGR
College: College of Engineering
Instructor
Instructor Name
Instructor Campus Address
instructorEmail@emailaddress.edu
Contact Hours
4.7
Course Coordinator
PETER KLOMBERG
Text book, title, author, and year
Medical instrumentation application and design; J. G. Webster; 4th; 2010
Supplemental Materials
None
Required / Elective / Selected Elective
Selected Elective
ABET Program Outcomes Associated with this Course
Program Specific Student Outcomes
 
Brief List of Topics to be Covered
  1. Electrocardiographic instrumentation concepts
  2. Biomedical digital signal acquisition
  3. Digital filter design including integer-coefficient filters
  4. Signal averaging techniques for biomedical applications
  5. Data reduction techniques for ECGs and other biomedical signals
  6. QRS complex filter design
  7. ECG analysis systems
Additional Information
 
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