ECG encryption and identification based security solution on the Zynq SoC for connected health systems

Journal article


Zhai, Xiaojun, Ait Si Ali, Amine, Amira, Abbes and Bensaali, Faycal 2017. ECG encryption and identification based security solution on the Zynq SoC for connected health systems. Journal of Parallel and Distributed Computing. https://doi.org/10.1016/j.jpdc.2016.12.016
AuthorsZhai, Xiaojun, Ait Si Ali, Amine, Amira, Abbes and Bensaali, Faycal
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.

KeywordsAdvanced encryption standard; Electrocardiography; Field programmable gate array
Year2017
JournalJournal of Parallel and Distributed Computing
PublisherElsevier
ISSN07437315
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jpdc.2016.12.016
Web address (URL)http://hdl.handle.net/10545/621787
hdl:10545/621787
Publication datesAug 2017
Publication process dates
Deposited31 Jul 2017, 10:11
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Archived with thanks to Journal of Parallel and Distributed Computing

ContributorsUniversity of Derby, Qatar University and Qatar University
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