ECG encryption and identification based security solution on the Zynq SoC for connected health systems
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Abstract
Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients’ data and medical records within a connected health system should be securely stored and transmitted for further analysis and diagnosis. This paper presents a set of security solutions that can be deployed in a connected health environment, which includes the advanced encryption standard (AES) algorithm and electrocardiogram (ECG) identification system. Efficient System-on-Chip (SoC) implementations for the proposed algorithms have been carried out on the Xilinx ZC702 prototyping board. The Achieved hardware implementation results have shown that the proposed AES and ECG identification based system met the real-time requirements and outperformed existing field programmable gate array (FPGA)-based systems in different key performance metrics such as processing time, hardware resources and power consumption. The proposed systems can process an ECG sample in 10.71ms and uses only 30% of the available hardware resources with a power consumption of 107mW.Citation
Zhai, Xiaojun et al (2017) 'ECG encryption and identification based security solution on the Zynq SoC for connected health systems', Journal of Parallel and Distributed Computing, 106:143Publisher
ElsevierJournal
Journal of Parallel and Distributed ComputingDOI
10.1016/j.jpdc.2016.12.016Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S0743731516301927Type
ArticleLanguage
enISSN
07437315ae974a485f413a2113503eed53cd6c53
10.1016/j.jpdc.2016.12.016