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| Abstract: | It is shown that the invariant integral, viz., the Kolmogorov second entropy, is eminently suited to characterize EEG quantitatively. The estimation obtained for a "clinically normal" brain is compared with a previous result obtained from the EEG of a person under epileptic seizure. |
| URI: | http://dyuthi.cusat.ac.in/purl/2636 |
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| Dyuthi-P0195.pdf | (355.6Kb) |
| Abstract: | A mathematical analysis of an electroencephalogram of a human Brain during an epileptic seizure shows that the K2 entropy decreases as compared to a clinically normal brain while the dimension of the attractor does not show significant deviation. |
| URI: | http://dyuthi.cusat.ac.in/purl/2706 |
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| Dyuthi-P0341.pdf | (225.4Kb) |
| URI: | http://dyuthi.cusat.ac.in/purl/1690 |
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| Dyuthi-T0056.pdf | (8.779Mb) |
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