Mar 28, 2024  
2015-2016 Undergraduate Academic Catalog 
    
2015-2016 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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BE 4800 - Biomedical Digital Signal Processing

2 lecture hours 3 lab hours 3 credits
Course Description
The objective of this course is to present the principles of digital signal processing and to have students apply these methods to the analysis of biological signals such as EEG and ECG. Topics covered include sampling, discrete-time system analysis, Z-transform, discrete and fast Fourier transform, transfer functions and digital filtering. In the laboratory, students are required to design software to perform analysis on various biopotential signals. (prereq: BE 3800 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Possess the skills necessary to function as an entry level biomedical engineer in biomedical signal processing. This includes understanding common signal processing methods and understanding the advantages and disadvantages of digital signal processing in analyzing biological signals
  • Implement using software tools, common signal processing methods on a range of biological signals. Example software tools include MATLAB
  • Understand sampling and quantization such that they can specify instrumentation and procedures for digitally recording biological data

Prerequisites by Topic
  • Understand the characteristics of common biopotential signals. Understand the origin of biopotentials, and how these signals can be coupled to analog circuitry. Understand Laplace and Fourier transforms. Have a working knowledge of computer programming

Course Topics
  • Review of continuous signal and system concepts (2 classes)
  • Signal sampling, aliasing, and spectral replication (3 classes)
  • Discrete Fourier Series and Discrete Fourier Transforms (3 classes)
  • Spectral calculations, spectral leakage, and windowing (3 classes)
  • A/D conversion (1 class)
  • Digital filtering: time and frequency domain analysis of FIR and IIR filters (1 class)
  • Z-Transforms and digital filters (1 class)
  • Two exams (2 classes)

Laboratory Topics
  • Investigating the effects of proper and improper sampling on signal characteristics
  • Investigating the effects of spectral leakage and windowing on signal characteristics
  • Power spectral analysis of biological signals with and without windowing
  • Digital filter implementation and frequency analysis
  • Digital filtering of biological signals and their spectral representation

Coordinator
Aaron Suminski



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