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AMERICAN UNIVERSITY OF BEIRUT FACULTY OF ENGINEERING AND ARCHITECTURE
 

Summary: AMERICAN UNIVERSITY OF BEIRUT
FACULTY OF ENGINEERING AND ARCHITECTURE
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
EECE695C Adaptive Filtering and Neural Networks
Filtering and Classification of ECG signals*
Project 1
1. ECG Signal Filtering
A major source of interference in ECG signals is the 50Hz power line frequency (60
Hz for USA). The fist part of the project consists of removing interference from the
measured EGC signal by applying a notch filter.
Plot the ECG signal using the data available on the WebCT. Design the notch filter and
give the transfer function. Use MATLAB to plot the following:
Filter Transfer Function.
Fourier Spectra of the input and output signal.
Noisy and filtered ECG signal.
2. ECG Classification Using Neural Networks
Your classifier will be based on ECG beats database description given in
"ECG_description.pdf" posted on the WebCT. Read the document carefully to understand
feature extraction concept. Write a MATLAB program to extract the nine features to be
inputted to the neural network.

  

Source: Al-Alaoui, Mohamad Adnan - Faculty of Engineering and Architecture, American University of Beirut, Lebanon

 

Collections: Engineering