Biomedical Signal Processing



  1. Introduction to Biomedical Signals:
  2. Tasks in Biomedical Signal Processing, Computer-Aided Diagnosis,
  3. Examples  of  Biomedical  signals:  ECG,  EEG,  EMG, etc.,
  4. Review  of  linear  systems,
  5. Fourier Transform and Time-Frequency Analysis (Wavelet) of biomedical signals,
  6. Processing of
  7. Random & Stochastic signals, spectral estimation.


  1. Cardio-logical Signal Processing:
  2. Pre-processing,
  3. QRS Detection Methods,
  4. Rhythm  analysis,
  5. Arrhythmia Detection Algorithms,
  6. Automated ECG Analysis, 
  7. ECG  Pattern  Recognition,
  8. Heart rate variability analysis.


  1. Adaptive Noise Canceling:
  2. Principles of Adaptive Noise Canceling,
  3. Adaptive Noise  Canceling
  4. with the LMS adaptation,
  5. Algorithm,
  6. Noise Canceling Method to Enhance ECG Monitoring,
  7. Fetal ECG Monitoring.


  1. Neurological  Signal  Processing:
  2. Modeling  of  EEG  Signals,
  3. Detection  of  spikes  and  spindles,
  4. Detection of Alpha, Beta and Gamma Waves,
  5. Auto-Regressive (A.R.) modeling of seizure EEG,
  6. Sleep Stage analysis,
  7. Inverse Filtering. 


  1. Properties and effects of noise in biomedical instruments;
  2. Filtering in biomedical instruments;
  3. Least squares and polynomial modeling;

Reference Books

1.  Biomedical Signal Processing: Principles and techniques, D.C.Reddy,   Tata McGraw Hill, New Delhi, 2005. 

2.  Biomedical Signal Processing, Willis J Tompkins, Prentice Hall, 1993 

3.  Biomedical Signal Analysis, R. Rangayan,  Wiley, 2002. 

4.  Biomedical Signal Processing & Signal Modeling, Eugene N. Bruce, Wiley, 2001. 

5.  Biomedical  Signal  and  Image  Processing,  K.  Najarian  and  R.  Splinter,  The  CRC  Press, Second Edition.

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