Biometric identification using fingertip electrocardiogram signals

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dc.authorid0000-0002-7008-4778en_US
dc.contributor.authorGuven, Gokhan
dc.contributor.authorGürkan, Hakan
dc.contributor.authorGuz, Umit
dc.date.accessioned2021-03-20T20:13:11Z
dc.date.available2021-03-20T20:13:11Z
dc.date.issued2018
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is high-sensitive, dry-contact, portable, user-friendly, inexpensive, and does not require using conventional components which are cumbersome and irritating such as wet adhesive Ag/AgCl electrodes. One of the other advantages of this device is to make it possible to record and use the lead-1 ECG signal easily in any condition and anywhere incorporating with any platform to use for advanced applications such as biometric recognition and clinical diagnostics. Furthermore, we proposed a biometric identification method based on combining autocorrelation and discrete cosine transform-based features, cepstral features, and QRS beat information. The proposed method was evaluated on three fingertip ECG signal databases recorded by utilizing the proposed device. The experimental results demonstrate that the proposed biometric identification method achieves person recognition rate values of 100% (30 out of 30), 100% (45 out of 45), and 98.33% (59 out of 60) for 30, 45, and 60 subjects, respectively.en_US
dc.description.sponsorshipCoordination Office for Scientific Research Projects, FMV ISIK UniversityIsik University [14A203]en_US
dc.description.sponsorshipThis research work was supported by Coordination Office for Scientific Research Projects, FMV ISIK University (Project Number: 14A203). Patent application of the newly proposed data acquisition device is pending status with the patent application number 2016/18442 at the Turkish Patent Institute. The authors thank the anonymous reviewers for their useful and valuable comments on an earlier version of this paper.en_US
dc.identifier.doi10.1007/s11760-018-1238-4en_US
dc.identifier.endpage940en_US
dc.identifier.issn1863-1703
dc.identifier.issn1863-1711
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage933en_US
dc.identifier.urihttp://doi.org/10.1007/s11760-018-1238-4
dc.identifier.urihttps://hdl.handle.net/20.500.12885/812
dc.identifier.volume12en_US
dc.identifier.wosWOS:000434910300015en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGürkan, Hakan
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofSignal Image And Video Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFingertip ECG data acquisition deviceen_US
dc.subjectFingertip ECG Signalen_US
dc.subjectFeature extractionen_US
dc.subjectClassificationen_US
dc.subjectBiometric identificationen_US
dc.titleBiometric identification using fingertip electrocardiogram signalsen_US
dc.typeArticleen_US

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