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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 7; pp. 757 - 763 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jul2009
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| Acceso en línea: | Ver este registro en EBSCOhost |