A fast chaos-based visual encryption mechanism for integrated ECG/EEG medical signals with transmission error
Chin‐Feng Lin, Cheng-Hsing Chung · 2008
Abstract:- In this paper, we have developed a chaos-based visual encryption mechanism that can be applied for the integrated electrocardiogram (ECG)/electroencephalography (EEG) medical signals. The main reason for using chaos sequences is to increase the unpredictability as compared to other types of random sequences. Thus, we used a 1D chaotic scrambler and a permutation scheme to achieve integrated ECG/EEG visual encryption. One way for realizing the visual encryption mechanism is to scramble the signal values of the input integrated ECG/EEG signal by multiplying a 1D chaotic signal to randomize the ECG/EEG signal values, and then a chaotic address scanning order encryption is applied to the randomize reference values. Simulation results show that when the correct deciphering parameters are entered, the signal will be completely recovered, and the percent root-mean-square difference (PRD) values for ECG and EEG medical signals with channel transmission bit error rate (BER) 710 are 151069.4 % and 154.33 10 %, respectively. Key-Words:- chaos, visual encryption, integrated ECG/EEG medical signals, fast, transmission error, percent root-mean-square difference values. 1