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Secure Information Transmission Based on Chaotic ECG Signals
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Electrocardiogram (ECG) signals vary from person to person, making them difficult to be imitated and duplicated. Biometric identification based on ECG is therefore a useful application of this feature. The synchronization of chaotic systems provides a rich mechanism which is noise-like and virtually impossible to guess or predict. Traditional encryption algorithms by mathematic algorithms generate the appropriate parameter values. The weakness is that they are likely to be intercepted and decrypted. This dissertation presents an information encryption/decryption scheme based on ECG signals with chaotic functions and transmission via synchronized circuits. The required ECG signals are acquired by a novel handheld device when two electrodes are simultaneously touched. The measured signals are then used to reconstruct ECG signals and extract the features by a feature extraction program. To implement the proposed secure communication system, a pair of Lorenz-based synchronized circuits are realized by using operational amplifiers, resistors, capacitors and multipliers. The testing results containing numerical simulation and experiments are given to demonstrate that the proposed method is correct and feasible. High quality randomness in ECG signals results in a widely expanded key space, making it an ideal key generator for personalized data encryption. The experiments reported in this dissertation demonstrate possibility of this approach in encrypting texts and images, and consequently in secure communications.
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