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This course is prepared for the engineering students in their final year of undergraduate studies or in their graduate studies. Electrical Engineering students with a good background in Signals and Systems are prepared to take this course. Students in other engineering disciplines, or in computer science, mathematics, geo physics or physics should also be able to follow this course. While a course in Digital Signal Processing would be useful, it is not necessary for a capable student. The course has followed problem solving approach as engineers are known as problem solvers. The entire course is presented in the form of series of problems and solutions.

Week

Topics

1.

Preliminaries; Biomedical signal origin & dynamics (ECG)

2.

Biomedical signal origin & dynamics (EEG, EMG etc.)

3.

Filtering for Removal of artifacts

4.

Filtering for Removal of artifacts contd.

5.

Filtering for Removal of artifacts contd.

6.

Filtering for Removal of artifacts contd.

7.

Event Detection

8.

Event Detection contd.

9.

Waveform Analysis

10.

Waveform Analysis contd.

11.

Frequency-domain Analysis

12.

Frequency-domain Analysis
  • Theory: Signals and Systems, Familiarity with basic definition of probability
  • Computer skill: Familiarity with MATLAB

  • 1. R M Rangayyan “Biomedical Signal Analysis: A case Based Approach”, IEEE Press, John Wiley & Sons. Inc, 2002 
    2. Willis J. Tompkins “ Biomedical Digital Signal Processing”, EEE, PHI, 2004 
    3. D C Reddy “Biomedical Signal Processing: Principles and Techniques”, Tata McGraw-Hill Publishing Co. Ltd, 2005 
    4. J G Webster “Medical Instrumentation : Application & Design”, John Wiley & Sons Inc., 2001 
    5. C Raja Rao, S K Guha “Principles of Medical Electronics and Biomedical Instrumentation”, Universities Press, 2001 
    6. AV Oppenheim and RW Shafer "Discrete-time Signal Processing", Prentice Hall, Englewood Cliffs, NJ, 1989. 
    7. Steven M. Kay, "Modern spectral estimation theory and application ", Prentice Hall, Englewood Cliffs, NJ, 1988. 

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