Biomedical Signal Processing - Spring 2012-2013

Biological signals are rich sources of information. Signal processing techniques are applied to understand underlying physiological reasoning and states and, to compute physiological parameters and, to classify certain states (classes). Biomedical signal processing finds applications in medicine, medical and rehabilitation engineering.

    Contents
    This course involves with application of digital signal processing methods to bioelectrical signals (mainly, EEG, ECG and EMG).
     
  1. Introduction. Types of signals and systems. Correlation.
  2. Linear systems. Impulse response. Convolution.
  3. Fourier series. Fourier transform. Frequency Response.
  4. Filtering.
  5. Laplace transform and z-transform.
  6. Random variables and stochastic processes. Moments and Cumulants. Multivariate distributions. Statistical independence and stochastic processes.
  7. Examples of biomedical signal processing.

    Textbooks:
  1. Signals and Systems Analysis in Biomedical Engineering. Robert B. Northrop. 2003. CRC Press.
  2. Introduction to Biomedical Engineering. John D. Enderle, Susan M. Blanchard and Joseph D. Bronzino. 2005. Elsevier Academic Press.
  3. Biomedical Signal Processing. Willis J. Tompkins. 1993. Prentice Hall.

Data Files

EMG Data
ECG Data