dc.contributor.author | Karaoğlan Altop, Duygu | |
dc.contributor.author | Levi, Albert | |
dc.contributor.author | Tuzcu, Volkan | |
dc.date.accessioned | 10.07.201910:49:13 | |
dc.date.accessioned | 2019-07-10T19:38:07Z | |
dc.date.available | 10.07.201910:49:14 | |
dc.date.available | 2019-07-10T19:38:07Z | |
dc.date.issued | 2017 | en_US |
dc.identifier.citation | Karaoğlan Altop, D., Levi, A. ve Tuzcu, V. (2017). 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.2017.8277692 | en_US |
dc.identifier.isbn | 9781509050499 | |
dc.identifier.issn | 2375-8236 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12511/1536 | |
dc.identifier.uri | https://dx.doi.org/10.1109/BlackSeaCom.2017.8277692 | |
dc.description.abstract | This 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.sponsorship | 114E557, B'DEB 2211-C | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Bio-Cryptography | en_US |
dc.subject | Blood Pressure | en_US |
dc.subject | Body Area Networks | en_US |
dc.subject | Body Temperature | en_US |
dc.subject | Electrocardiogram | en_US |
dc.subject | Physiological Signals | en_US |
dc.title | SU-PhysioDB: A physiological signals database for body area network security | en_US |
dc.type | conferenceObject | en_US |
dc.relation.ispartof | 5th IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom) | en_US |
dc.department | İstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Çocuk Sağlığı ve Hastalıkları Ana Bilim Dalı | en_US |
dc.authorid | 0000-0001-9008-4997 | en_US |
dc.identifier.startpage | 178 | en_US |
dc.identifier.endpage | 183 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1109/BlackSeaCom.2017.8277692 | en_US |