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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/30658

Title: 離線式混沌腦波加密軟體設計與實現(I)
Off-Line Chaos-Based Eeg Encryption Software Design and Implementation
Authors: 林進豐
Contributors: NTOU:Department of Electrical Engineering
國立臺灣海洋大學:電機工程學系
Keywords: Microsoft visual studio 發展環境;C# 程式語言;混沌加密系統;16 通道 EEG Vue 訊號
Microsoft visual studio development kit;C# programming;chaos encryption system;16-channel EEG Vue signals
Date: 2011
Issue Date: 2012-04-13T01:16:01Z
Publisher: 行政院國家科學委員會
Abstract: 在這個計畫,我們討論離線式混沌腦波視覺加密軟體實現。在之前的研習,我們已發 展嵌入式(PXA300-S)腦波混沌加解密平台、二維心電圖Matlab-based 混沌加解密軟體、二維 腦波圖Matlab-based 混沌加解密軟體、一維心電圖Matlab-based 混沌加解密軟體、一維腦波 圖Matlab-based 混沌加解密軟體和醫療數位X 光片混沌加解密軟體。我們已發表二篇SCI(E) 期刊,一篇專章論文,二篇EI 期刊,一篇新型專利,七篇國際會議論文和二篇國內會議論 文在混沌生醫訊號加密領域。在我們所發展之嵌入式(PXA300-S)腦波混沌加解密平台,加密 強韌度較低(腦波混沌視覺加密階層一)、需嵌入式硬體平台並且顯示螢幕太小。因此在第一 年,我們將逐步實現第一階段三階層混沌腦波視覺加密軟體,並進行策略型專利佈局;在第 二年,我們將逐步實現第二階段階層四混沌腦波視覺加密軟體,並持續進行策略型專利佈局。
In this project, we discuss the implementation of an off-line chaos-based visual encryption software for electroencephalogram (EEG) signals. In previous studies, we have developed an embedded off-line chaos-based visual encryption (level 1) hardware/software platform for EEG signals, a two-dimensional MATLAB-based off-line chaos-based visual encryption software for EEG signals, a two-dimensional MATLAB-based off-line chaos-based visual encryption software for electrocardiogram (ECG) signals, a one-dimensional MATLAB-based off-line chaos-based visual encryption software for EEG signals, a one-dimensional MATLAB-based off-line chaos-based visual encryption software for ECG signals, and a two-dimensional MATLAB-based off-line chaos-based visual encryption software for digital X-rays. We have published studies in two SCI(E), and two EI journals, published one book chapter, applied for one patent, and presented seven international conference papers on chaos-based encryption of biomedical signals. Previous embedded off-line chaos-based visual encryption hardware/software platforms for EEG signals suffer from several drawbacks; for example, the encryption platform depends on the embedded hardware, the screen is too small to display EEG signals, and the encryption has low robustness (level I). We will develop level I-III off-line encryption software for EEG signals and apply for strategy patents for the same in the first year. We will then develop level IV off-line encryption software for EEG signals, and apply for strategy patents for the same in the second year.
Relation: NSC100-2221-E019-019
URI: http://ntour.ntou.edu.tw/handle/987654321/30658
Appears in Collections:[電機工程學系] 研究計畫

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