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
| Authors | Zhai, 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. |
| Keywords | Advanced encryption standard; Electrocardiography; Field programmable gate array |
| Year | 2017 |
| Journal | Journal of Parallel and Distributed Computing |
| Publisher | Elsevier |
| ISSN | 07437315 |
| 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 dates | Aug 2017 |
| Publication process dates | |
| Deposited | 31 Jul 2017, 10:11 |
| Rights | Archived with thanks to Journal of Parallel and Distributed Computing |
| Contributors | University of Derby, Qatar University and Qatar University |
| File | |
| File | File Access Level Open |
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