Abstract

The field programmable gate array (FPGA) implementation of the nonlinear resistor-capacitor-inductor shunted Josephson junction (NRCISJJ) model and its application to sEMG (Surface ElectroMyoGraphic) signal encryption through image encrypted technique are reported in this study. Thanks to the numerical simulations and FPGA implementation of the NRCISJJ model, different shapes of chaotic attractors are revealed by varying the parameters. The chaotic behaviour found in the NRCISJJ model is used to encrypt the sEMG signal through image encryption technique. The results obtained are interesting and open up many perspectives.

Highlights

  • Circuits based on Josephson Junction (JJ) devices received particular attention in literature during the past two decades.is great interest is justified by the interesting characteristics of JJ device including high working frequency, low power consumption, and ultralow noise and by their exploitation for constructing important technological devices such as ultrahigh sensitive detectors, highdensity computer circuits, quantum-computing devices, superconducting electronic devices, and ultrahigh-speed chaotic signal generators [1–8]

  • Linear and nonlinear resistor-capacitor-inductor shunted JJ models (LRCISJJ and NRCIJJ) are the most investigated in the relevant literature. is is due to their fascinating properties very suitable for high-frequency applications such as spread spectrum communication systems

  • Complexity model using the backstepping design method are discussed in [11, 12]. e authors demonstrated that the employed control method is capable to eliminate the chaotic behaviour displayed by the NRCIJJ model and assureed the global asymptotic synchronization between drive-response NRCIJJ models with different system parameters

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Summary

Introduction

Circuits based on Josephson Junction (JJ) devices received particular attention in literature during the past two decades. Motivated by the above discussions, this study designs and implements on FPGA a chaotic NRCISJJ model and applies it to secure sEMG signal through image encryption technique. 3. Application of the Chaotic NRCISJJ Model to Secure sEMG Signal Using Chaotic Logistic Map Image Encryption Technique e proposed encryption technique is based on that used in image encryption by the chaotic logistics map. E NRCISJJ model is used as a chaotic sequence to apply the sEMG signal encryption technique rather than the chaotic logistic map sequence due to the sensitivity of its key. KHEIR1, KHEIR2, and JOUVE3 S_EMG 1D signals belong to holy patients, while EMG_MYOPATHY and EMG_HEALTHY S_EMG 1D signals are for not holy patients

Key Sensitivity Analysis
Information Entropy
Resistance to One Bit Changing Attack
Quality Metrics Analysis between Plain and Encrypted
Mean Square
Percent Root
Encryption Time
Findings
Conflicts of Interest

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