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AuthorAli, Amine Ait Si
AuthorZhai, Xiaojun
AuthorAmira, Abbes
AuthorBensaali, Faycal
AuthorRamzan, Naeem
Available date2022-12-29T07:34:43Z
Publication Date2016
Publication NameProceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
AbstractThis 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. 2016 IEEE.
PublisherInstitute of Electrical and Electronics Engineers Inc.
Data privacy
Field programmable gate arrays (FPGA)
High level synthesis
Programmable logic controllers
Real time systems
Advanced Encryption Standard
Efficient implementation
Encryption and decryption
Hardware implementations
Hardware resources
Human identification
Processing time
Real time requirement
TitleHeterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC
TypeConference Paper

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