3 credits
Spring 2023 Lecture Distance Learning Upper Division
An introduction to the application of digital signal processing to practical problems involving biomedical signals and systems. Topics include: overview of biomedical signals; filtering to remove artifacts; event detection; analysis of waveshape and waveform complexity; frequency domain characterization; modeling biomedical signal-generating systems; analysis of non-stationary signals; pattern classification and diagnostic decisions, MATLAB is used throughout to apply the theory and techniques discussed to biomedical signals.
Learning Outcomes1Understand practical problems faced in objective analyses of biomedical signals.
2Understand the underlying physiological and anatomical factors that are relevant for numerous types of biomedical signals.
3Understand the theoretical background underlying the use of digital signal processing for biomedical applications.
4Understand the practical benefits and limitations of various digital signal processing approaches and identify the best solution for specific problems.
5Implement appropriate signal processing algorithms for practical problems involving biomedical signals and systems
6Propose, carry out, orally present, and write up in a conference proceedings format a biomedical-research mini project using- signal processing algorithms.
Prerequisites
Restrictions
made by Purdue students.