Karaoğlan Altop, Duygu and Levi, Albert and Tuzcu, Volkan (2017) SU-PhysioDB: a physiological signals database for body area network security. In: IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom 2017), Istanbul, Turkey
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Official URL: http://dx.doi.org/10.1109/BlackSeaCom.2017.8277692
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 database. 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.
Item Type: | Papers in Conference Proceedings |
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Uncontrolled Keywords: | Physiological Signals; Electrocardiogram; Blood Pressure; Body Temperature; Body Area Networks; Biocryptography |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | Duygu Karaoğlan Altop |
Date Deposited: | 14 Sep 2017 10:29 |
Last Modified: | 31 Jul 2023 15:45 |
URI: | https://research.sabanciuniv.edu/id/eprint/33519 |
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SU-PhysioDB: A physiological signals database for body area network security. (deposited 27 Apr 2017 09:57)
- SU-PhysioDB: a physiological signals database for body area network security. (deposited 14 Sep 2017 10:29) [Currently Displayed]