Show simple item record

dc.contributor.authorZhai, Xiaojun
dc.contributor.authorAmira, Abbes
dc.contributor.authorBensaali, Faycal
dc.date.accessioned2016-11-11T10:54:12Z
dc.date.available2016-11-11T10:54:12Z
dc.date.issued2015-10-26
dc.identifier.citationZhai, X., et al (2015) 'ECG security identification system on the Zynq SoC Platform', 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), Liverpool, UK, 26-28 Octoberen
dc.identifier.isbn9781509001545
dc.identifier.doi10.1109/CIT/IUCC/DASC/PICOM.2015.174
dc.identifier.urihttp://hdl.handle.net/10545/620810
dc.description.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 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.
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7363218/en
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7361821en
dc.relation.urlhttp://cse.stfx.ca/~iucc2015/en
dc.subjectElectrocardiographyen
dc.subjectTrainingen
dc.subjectPrinciple component analysisen
dc.subjectMatlab/Simulinken
dc.titleECG security identification system on the Zynq SoC Platformen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProceedings 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)en
html.description.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 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.


This item appears in the following Collection(s)

Show simple item record