A chaos-based visual encryption mechanism for clinical EEG signals.

In this study, we have developed a chaos-based visual encryption mechanism that can be applied for clinical electroencephalography (EEG) signals. In comparison with other types of random sequences, chaos sequences were mainly used to increase unpredictability. We used a 1D chaotic scrambler and a pe...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 47; no. 7; pp. 757 - 763
Main Authors:	Lin CF, Chung CH, Lin JH, Lin, Chin-Feng, Chung, Cheng-Hsing, Lin, Jia-Hui
Format:	research Journal Article
Published:	Springer Nature Jul2009
Online Access:	View this record in EBSCOhost