EEL 5934 BioSignal Processing

A SAMPLE PROJECT USING EEG SIGNALSCatalog Description:          Prerequisites:

  • Linear Systems and Introduction to Signal Processing or

equivalent with permission of instructor.

  • MATLAB programming skills.

Scope:
Basics of bioelectrical signals (Electroencephalograms, Evoked potentials, Electromyograms, Electrocardiograms), their acquisition, modeling and analysis.
Signal Processing Methods:
Linear filtering, autocorrelation and covariance, Fourier-based spectral analysis, the short-time
Fourier transform, time-frequency analysis. Model-based spectral analysis.
Stochastic signals and noise reduction.
Signal representation in orthogonal bases: Karhunen-Loeve and wavelet transforms.
Adaptive filtering: Instantaneous and block LMS methods.

Text Book:
Bioelectrical  Signal Processing in Cardiac and Neurological Applications by Leif Sornmo and Pablo Laguna. Elsevier Academic Press, 2005.

Projects and data:
www.biosignal.lth.se
http://www.physionet.org/
http://www.physionet.org/physiotools/ecgsyn/

Instructor:
Dr. Nurgun Erdol, Professor
Department of Electrical Engineering
E-mail:                                   erdol@fau.edu

Telephone:                            561-297-3409

Goals:                                    This course is intended to provide a comprehensive overview of techniques of processing bioelectrical signals. It will be problem-based and programming oriented.

Students are expected to code in MATLAB at a level where they can use programming to verify and demonstrate concepts. Demonstration of work will be done with synthetically generated waveforms and real data.
 
Studio Time:                         T, Tr 9:30-10:50 am
Office Hours:                       T,Tr  2:00-3:30 pm and by email and blackboard. Please put BioSignals Processing in the subject field of your email.

Topics:                                  

  1. Basics of Bioelectrical Signals – Chapter 1
  2. The Electrocardiogram Signal Processing – Chapters 6 & 7
  3. The Electroencephalogram (EEG) – Chapter 2
  4. EEG Signal Processing- Chapter 3
  5. Evoked Potentials  – Chapter 4
  6. The Electromyogram -Chapter 5

Grading:                               

Grading is based on 4 projects and reports each of weight 25%.
Web access: Course materials, homework assignments and announcements will be posted on  http://blackboard.fau.edu. Students may access the site by logging in according to the menu on the web site. You will need your SOCIAL SECURITY OR STUDENT NUMBER.