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AuthorZhai, Xiaojun
AuthorAmira, Abbes
AuthorBensaali, Faycal
Available date2022-12-29T07:34:46Z
Publication Date2015
Publication NameProceedings - 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
ResourceScopus
URIhttp://dx.doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.174
URIhttp://hdl.handle.net/10576/37856
AbstractElectrocardiogram (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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectElectrocardiogram (ECG)
High level synthesis
Identification systems
Zynq
TitleECG security identification system on the Zynq SoC platform
TypeConference Paper
Pagination1164-1169
dc.accessType Abstract Only


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