Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC

Ait Si Ali, Amine, Zhai, Xiaojun, Amira, Abbes, Bensaali, Faycal and Ramzan, Naeem (2016) Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC. In: FCCM 2016 - 24th Annual International Symposium on Field-Programmable Custom Computing Machines, 1-3 May 2016, Washington, DC, USA.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/FCCM.2016.44

Abstract

This paper presents an innovative and safe connected health solution for human identification. The system consists of the encryption and decryption of ECG signals using the advanced encryption standard (AES) as well as the recognition of individuals based on ECG biometrics. Heterogeneous and efficient implementation of the proposed system has been performed on a Xilinx ZC702 Zynq based prototyping board. Various IP-cores have been created based on the high level synthesis (HLS) implementation of the AES cipher, AES decipher and ECG identification blocks. The proposed hardware implementation has shown promising results since it met the real-time requirements and outclassed current field programmable gate array (FPGA) based systems in multiple key metrics including power consumption, processing time and hardware resources usage. The implemented system needs 10.71 ms to process one ECG sample and consumes 107mW while using only 30% of all available on-chip resources.

Item Type: Conference or Workshop Item (Paper)
Subjects: B900 Others in Subjects allied to Medicine
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 13 Apr 2018 14:26
Last Modified: 13 Apr 2018 14:26
URI: http://nrl.northumbria.ac.uk/id/eprint/33967

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