Biomedical Signal Analysis

Tuesday the 28th - Friday the 31st of August, 2007

Ragnar Granit Institute
Tampere University of Technology

Lecturer:
Professor Rangaraj M. Rangayyan
University of Calgary

8 CR

Brief outline:

Introduction to the electrocardiogram, electroencephalogram, electromyogram, and other diagnostic signals. Computer techniques for processing and analysis of biomedical signals. Pattern classification and decision techniques for computer-aided diagnosis. Case studies from current applications and research.

Prerequisite:

A course on Signals, Linear Systems, and Transforms (Laplace, Fourier, and z transforms).

Objectives:

  • Learn about the genesis of biomedical signals, such as the action potential, EMG, ECG, EEG, and heart sound signals.
  • Review basic concepts of signals, systems, and digital filters.
  • Study the characteristics of biomedical signals: stationarity, periodicity, rhythm, wavelets, epochs, episodes, transients.
  • Learn signal processing techniques for filtering, noise removal, cancellation of interference, and characterization of signals.
  • Study techniques for the detection of events such as the QRS complex, heart sounds and murmurs, and the dicrotic notch.
  • Learn about spectral analysis of biomedical signals.

Background review and preparation:

You are advised to review a textbook on signals, linear systems, and transforms, such as Lathi BP, "Signal Processing and Linear Systems", Berkeley-Cambridge, Carmichael, CA, 1998; or Oppenheim AV, Willsky AS, and Nawab SH, "Signals and Systems", Prentice Hall, Englewood Cliffs, NJ, 2nd edition, 1997. You are also advised to familiarize yourself with MATLAB and the associated Signal Processing Toolbox.

Textbook:

Rangayyan RM, "Biomedical Signal Analysis - A Case-study Approach", IEEE and Wiley, New York, NY, 2002. (Selected parts from the first six chapters.)
  Table of Contents.

Updates to textbook and other information:

Solutions to selected problems, lab exercises, biomedical signal data files, previous examinations, and additional material are posted on the website
www2.enel.ucalgary.ca/People/Ranga/enel563
Please check this site often for updated information.

Exercises:

Exercises will be included to the course. As assistant serves Mr Emre Kapucu.

Examination:

There will be a final written examination (three hours), to be scheduled in September 2007.

Venue:

The course will be arranged at the Biomedical Engineering Research Center, BERC, of the Ragnar Ggranit Institute. It is located next to the Tampere University Central Hospital in the FinnMedi Building, Biokatu 6, 33520 TAMPERE.

Schedule:

DateTimeProgram
Tuesday 28.8.200713.00-14.00Registration
    14.00-18.00Lectures
Wednesday29.8.200709.00-13.00Lectures
    13.00-14.00Lunch break
    14.00-18.00Lectures
Thursday 30.8.200709.00-13.00Lectures
    13.00-14.00Lunch break
    14.00-18.00Lectures
Friday 31.8.200709.00-13.00Lectures
    13.00-14.00Lunch break
    14.00-16.00Lectures

Total 26 hours lectures.

Video lectures of the course available at:
EVICAB

 


Top of page