SU-PhysioDB: A physiological signals database for body area network security
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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.2017.8277692
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.