By Topic

Use of chaotic modeling for transmission of EEG data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kavitha, V. ; Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India ; Dutt, D.N.

A method based on chaotic modeling for compression and transmission of EEG data is presented. It is assumed that the data to be transmitted is chaotic and is generated by an E-dimensional nonlinear system. The flow in the E-dimensional space is obtained from the one dimensional time series using the process of time delay embedding. Then a simple, linear model is fitted for this flow in the E-dimensional space and this model is used as a predictor in the general DPCM scheme for transmission. Since this model was able to give very good one-step prediction, we were able to achieve a reduction of about 50 percent of the dynamic range of the signal to be transmitted (and hence a reduction in bit rate also). A further advantage is that this is achieved with the additional feature of reduced complexity when compared to the conventionally used AR model

Published in:

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on  (Volume:3 )

Date of Conference:

9-12 Sep 1997