About Us ABET ECE 1580Biomedical Applications of Signal Processing(3 credits) Description: The nature of biological signals and noise, including appropriate physiologic background; digital filtering, spectral analysis, automated interpretation of signals. Examples drawn from current problems in clinical medicine and research. Prerequisites: Signals and Systems (ECE 1552 or BIOENG 1410) Texts: Set of article reprints (available at Copy Cat, Forbes Ave). Reference: Digital Signal Processing, J.G. Proakis & D.G.Manolakis, Macmillan, 1992. Course Objectives: Provide students with experience in applying signal processing techniques, including the use of MATLAB software. Assignments use real data obtained from patients and emphasize interpretation of results to answer practical (in this case, clinical) questions. Provide an introduction to the nervous system and its electrical properties. Students gain experience with writing and with oral presentation. Topics Covered: Review of MATLAB, biological membrane potentials and neural activity, intra‑ and extracellular recording techniques, cardiovascular physiology and the EKG, comparison of QRS detection algorithms, brain physiology and the EEG, stochastic processes as models of signals, autocorrelation and spectral estimation, power spectral densities and the EEG, sleep physiology, sleep EEG, and recording artifacts, sensory evoked potentials, averaging, spectral analysis and filtering SEPs, FIR and IIR digital filter design in MATLAB Class/Laboratory Schedule: Two 75-minute lectures per week Professional Component Contributions: Students utilize their knowledge of math, physics, and electrical engineering to study problems in biology. This focus on a different area of application strengthens the students’ understanding of techniques for circuit analysis and signal processing by demonstrating the generality and limitations of these techniques. The course covers issues concerning the application of engineering and technology in medicine, and students learn about ethical issues in using technology and to problems of communication between different professionals. Prepared by: J.R. Boston Date Prepared: May 29, 2005
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