Subject: Subject Sylbus: Physiological Signal Analysis - 048820

Physiological Signal Analysis - 048820
Will not be given the year
Credit
Points
2.0
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2        
Possibility to guided reading

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Intro. to Digital Signal Processing 044198
or Introduction to Biological Signals and Systems 046326
 
Overlapping Courses: Physiological Signal Analysis 338210


Characteristics of Physiological Signals: Problems of Nonstationarity, Physiological Noise and Cross-Talk. Linear Models Using Eigenfunction Analysis and Linear Prediction. Non-Linear Analysis Using Wiener Kernels. Estimation of the Spectrum and Correlation Coefficients. Analysis of Ecg Using Point Process Models, Combining Waveform Morphology and Event Statistics. Noise and Clutter Cancellation Using Adaptive Filtering. Physiological Signal Classification.


Created in 01/12/2021 Time 13:53:00