ECG security identification system on the Zynq SoC platform
| Author | Zhai, Xiaojun |
| Author | Amira, Abbes |
| Author | Bensaali, Faycal |
| Available date | 2022-12-29T07:34:46Z |
| Publication Date | 2015 |
| Publication Name | Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 |
| Resource | Scopus |
| 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 realtime 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. 2015 IEEE. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Electrocardiogram (ECG) High level synthesis Identification systems Zynq |
| Type | Conference Paper |
| Pagination | 1164-1169 |
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Electrical Engineering [2466 items ]