Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC

Amine Ait Si Ali; Xiaojun Zhai; Abbes Amira; Faycal Bensaali; Naeem Ramzan

doi:10.1109/FCCM.2016.44

Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC

Amine Ait Si Ali, Xiaojun Zhai, Abbes Amira, Faycal Bensaali, Naeem Ramzan

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
Publisher	IEEE
Number of pages	1
ISBN (Electronic)	9781509023561
DOIs	https://doi.org/10.1109/FCCM.2016.44
Publication status	Published - 16 Aug 2016
Event	24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 - Washington, United States Duration: 1 May 2016 → 3 May 2016

Conference

Conference	24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
Country/Territory	United States
City	Washington
Period	1/05/16 → 3/05/16

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10.1109/FCCM.2016.44

Cite this

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title = "Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC",

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.",

author = "Ali, {Amine Ait Si} and Xiaojun Zhai and Abbes Amira and Faycal Bensaali and Naeem Ramzan",

year = "2016",

month = aug,

day = "16",

doi = "10.1109/FCCM.2016.44",

language = "English",

booktitle = "Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016",

publisher = "IEEE",

address = "United States",

note = "24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 ; Conference date: 01-05-2016 Through 03-05-2016",

}

Ali, AAS, Zhai, X, Amira, A, Bensaali, F & Ramzan, N 2016, Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC. in Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016., 7544767, IEEE, 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016, Washington, United States, 1/05/16. https://doi.org/10.1109/FCCM.2016.44

Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC. / Ali, Amine Ait Si; Zhai, Xiaojun; Amira, Abbes et al.
Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016. IEEE, 2016. 7544767.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC

AU - Ali, Amine Ait Si

AU - Zhai, Xiaojun

AU - Amira, Abbes

AU - Bensaali, Faycal

AU - Ramzan, Naeem

PY - 2016/8/16

Y1 - 2016/8/16

N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016

PB - IEEE

T2 - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016

Y2 - 1 May 2016 through 3 May 2016

ER -

Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC

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