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Use of chaotic modeling for transmission of EEG data

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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

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