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dc.contributor.authorKaraoğlan Altop, Duygu
dc.contributor.authorLevi, Albert
dc.contributor.authorTuzcu, Volkan
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:38:07Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:38:07Z
dc.date.issued2018en_US
dc.identifier.citationKaraoğlan Altop, D., Levi, A. ve Tuzcu, V. (2018). SU-PhysioDB: A physiological signals database for body area network security. 5th IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom) içinde (178-183. ss.). Istanbul, Turkey, 5-8 June 2017. https://dx.doi.org/10.1109/BlackSeaCom.2017.8277692en_US
dc.identifier.isbn9781509050499
dc.identifier.issn2375-8236
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1536
dc.identifier.urihttps://dx.doi.org/10.1109/BlackSeaCom.2017.8277692
dc.description.abstractThis paper presents a new physiological signals database, SU-PhysioDB, that contains simultaneous measurements of electrocardiogram (ECG), blood pressure (BP) and body temperature (BT) signals. SU-PhysioDB can be used to evaluate the performance of the security mechanisms designed for the communication among the biosensors within Body Area Networks (BANs). We present a detailed description of our SU-PhysioDB database along with providing a performance comparison of two specific physiological parameter generation techniques using a public database and our SU-PhysioDB da-tabase. Results show that our SU-PhysioDB database is a pros-pering option to be used while evaluating the performance of a bio-cryptographic security infrastructure designed for BANs.en_US
dc.description.sponsorship114E557, B'DEB 2211-Cen_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBio-Cryptographyen_US
dc.subjectBlood Pressureen_US
dc.subjectBody Area Networksen_US
dc.subjectBody Temperatureen_US
dc.subjectElectrocardiogramen_US
dc.subjectPhysiological Signalsen_US
dc.titleSU-PhysioDB: A physiological signals database for body area network securityen_US
dc.typeconferenceObjecten_US
dc.relation.journal5th IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom)en_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Çocuk Sağlığı ve Hastalıkları Ana Bilim Dalıen_US
dc.authorid0000-0001-9008-4997en_US
dc.identifier.startpage178en_US
dc.identifier.endpage183en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/BlackSeaCom.2017.8277692en_US


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