基于混沌的生物医学信号掩蔽系统的CMOS设计

IF 1.6 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Eduardo Juárez-Mendoza, Gregorio Zamora-Mejia, Esteban Tlelo-Cuautle, Alejandro Díaz-Sánchez
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引用次数: 0

摘要

这项工作展示了一种基于双涡旋同步混沌振荡器的心电图数据掩蔽系统的发展。本文致力于介绍一种双涡旋混沌振荡器的CMOS实现,该振荡器是利用运算跨导放大器(OTA)固有的双曲切线型特性设计的。通过绘制分岔图和计算李雅普诺夫指数来保证CMOS振荡器的混沌行为。在此基础上,设计了一种基于CMOS混沌系统的掩蔽系统,在有效传输心电信号的同时保护隐私。基本上,混沌时间序列被处理成在连续时间域中产生伪随机信号。在UMC 180纳米CMOS制造工艺下的数学建模和仿真结果表明,所提出的掩蔽系统非常适合为生物医学信号的混沌加密提供硬件级安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

CMOS Design of a Chaos-Based Masking System for Biomedical Signals Applications

CMOS Design of a Chaos-Based Masking System for Biomedical Signals Applications

This work shows the development of an electrocardiogram (ECG) data masking system based on double-scroll synchronized chaotic oscillators. The contribution is devoted to the introduction of a CMOS implementation of a double-scroll chaotic oscillator, which is designed by taking advantage of the intrinsic hyperbolic tangent-type characteristic of the operational transconductance amplifier (OTA). The chaotic behavior of the CMOS oscillator is guaranteed by plotting the bifurcation diagram and evaluating the Lyapunov exponents. In this manner, a masking system based on CMOS chaotic systems is designed to protect privacy while transmitting ECG signals effectively. Basically, the chaotic time series is processed to generate pseudorandom signals in a continuous-time domain. Mathematical modeling and simulation results under a UMC 180-nm CMOS fabrication process demonstrate that the proposed masking system is well suited to provide hardware-level security in the chaotic encryption of biomedical signals.

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来源期刊
International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications 工程技术-工程:电子与电气
CiteScore
3.60
自引率
34.80%
发文量
277
审稿时长
4.5 months
期刊介绍: The scope of the Journal comprises all aspects of the theory and design of analog and digital circuits together with the application of the ideas and techniques of circuit theory in other fields of science and engineering. Examples of the areas covered include: Fundamental Circuit Theory together with its mathematical and computational aspects; Circuit modeling of devices; Synthesis and design of filters and active circuits; Neural networks; Nonlinear and chaotic circuits; Signal processing and VLSI; Distributed, switched and digital circuits; Power electronics; Solid state devices. Contributions to CAD and simulation are welcome.
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