Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC
المؤلف | Ali, Amine Ait Si |
المؤلف | Zhai, Xiaojun |
المؤلف | Amira, Abbes |
المؤلف | Bensaali, Faycal |
المؤلف | Ramzan, Naeem |
تاريخ الإتاحة | 2022-12-29T07:34:43Z |
تاريخ النشر | 2016 |
اسم المنشور | Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 |
المصدر | Scopus |
الملخص | 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. 2016 IEEE. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | Computers Data privacy Electrocardiography Field programmable gate arrays (FPGA) Hardware High level synthesis Programmable logic controllers Real time systems System-on-chip Advanced Encryption Standard Efficient implementation Encryption and decryption Hardware implementations Hardware resources Human identification Processing time Real time requirement Cryptography |
النوع | Conference Paper |
الصفحات | 139- |
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