Segmentation and tracking of the electo-encephalogram signal using an adaptive recursive bandpass filter

Detail

Language

English

Title

Segmentation and tracking of the electo-encephalogram signal using an adaptive recursive bandpass filter

Free Keywords

Electroencephalogram analysis, Non-stationarity, Adaptive tracking of centre frequency of biomedical signals

Description

Last Modified Date

Feb 8, 2007 18:06:50

Created Date

Jul 10, 2002 02:55:08

Contributor

Andrej Cichocki (cichocki)

Item Type

Model

Change Log(History)

Feb 8, 2007	Modified; Index.
Feb 24, 2006	Modified; Index, Readme.

Model type

OriginalProgram

Creator

Gharieb RR

Preview

Model file

segmenting_eeg.zip

Type	: application/x-zip
Size	: 3.9 KB
Last updated	: Sep 30, 2006
Downloads	: 258

Total downloads since Jul 10, 2002 : 258

Readme

Author:

Dr. Reda Regab Gharieb



Reference:

R. R. Gharieb and A. Cichocki, 

"Segmentation and tracking of the electo-encephalogram signal using an adaptive 

recursive bandpass filter,"

Medical & Biological Engineering & Computing, IFMBE-2001,

vol. 39, pp. 237-248.



This package contains the following files:



README

  This file

eeg_demo.m

  Matlab m-file

  This Demo program is to simulate different segments of EEG signal and to online track 

  theses segments.

sim_eeg.m

  Matlab m-file

  This is a function using linear modeling for generating an eeg wave specified by the user.

eeg_seg.m

  Matlab m-file

  This makes segmentation of eeg signal based on the center frequency of each segment.



HOW TO RUN



This EEG Demo program is to simulate different segments of EEG signal and to online track

theses segments.



For the simulation, you need Matlab and its Signal Processing Toolbox.



1. Type "eeg_demo" at Matlab command line. You can see demonstration of segmentation of 

simulated EEG signal.



2. Changing some parameters in eeg_demo.m, you can obtain other results. You can also apply 

eeg_seg.m to your own data.



<eeg_demo.m>

This m-file calls next two functions and carrys out demonstration.

This Demo program is to simulate different segments of EEG signal and to online track 

theses segments.



First, it generates an eeg signal that consists of different segments (e.g. alpha wave, 

beta wave ....) using sim_eeg function. In the upper figure, the signal is presented. 

Next, using the matlab specgram function, it represents the spectrogram of the signal 

in the middle figure. Next, it calculates our segmenting function for tracking the

eeg segments and represents the function in the lower figure.



We can track the eeg segments by the spectrogram, but our segmenting function

represents the segmentation more clearly and is easier to use because it is a scalar

function.  



<sim_eeg.m>

This is a function using linear modeling for generating an eeg wave specified by the user.

You can use both MA model and ARMA model. For usage, please use help command in Matlab.



<eeg_seg.m>

This makes segmentation of eeg signal based on the center frequency of each segment.

The function uses an adaptive bandpass filter; the adaptive filter is implemented as a 

4th order Butterworth filter; the adaptive filter needs only one coefficient to be updated. 

The center frequency of the eeg segment is proportional to this adaptive coefficient.

For usage, please use help command in Matlab.

Rights

Index

/ Public / Visiome 2004 / Tools & Techniques / Analysis / Spectral Analysis
/ Public / Visiome 2004 / Tools & Techniques / Measurement / Noninvasive Technique
/ Public / Visiome 2004 / Tools & Techniques / Simulator/Language / MATLAB/Simulink
/ Public / Model

Related to

Item summary

Segmentation and tracking of the electo-encephalogram signal using an adaptive recursive bandpass filter
R. R. Gharieb , A. Cichocki
Medical & Biological Engineering & Computing, IFMBE-2001 2002 ;39 :237-248