ECG security identification system on the Zynq SoC Platform
Conference item
Zhai, Xiaojun, Amira, Abbes and Bensaali, Faycal 2015. ECG security identification system on the Zynq SoC Platform. IEEE. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.174
| Authors | Zhai, Xiaojun, Amira, Abbes and Bensaali, Faycal |
|---|---|
| Abstract | Electrocardiogram (ECG) is one of the most safety-relevant biometrics due to its live indication and the unique specific waveform. This paper presents an approach for a security identification system and its System-on-Chip (SoC) implementation. The design of the proposed solution has been validated using both MATLAB and Vivado high-level synthesis tools. The achieved implementation results show that the proposed ECG identification method has not only met the real-time processing requirements, but it also consumes only 33% of the available on-chip logic resources of a Xilinx Zynq 7010 SoC with a high identification accuracy. |
| Keywords | Electrocardiography; Training; Principle component analysis; Matlab/Simulink |
| Year | 2015 |
| Journal | Proceedings of the 14th International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM) |
| Publisher | IEEE |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.174 |
| Web address (URL) | http://hdl.handle.net/10545/620810 |
| hdl:10545/620810 | |
| ISBN | 9781509001545 |
| File | File Access Level Open |
| Publication dates | 26 Oct 2015 |
| Publication process dates | |
| Deposited | 11 Nov 2016, 10:54 |
| Contributors | University of Derby |
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