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

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Altop D. K., Levi A., TUZCU V.

2017 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2017, İstanbul, Turkey, 5 - 08 June 2017, vol.2018-January, pp.1-6, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2018-January
  • Doi Number: 10.1109/blackseacom.2017.8277692
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.1-6
  • Keywords: Bio-cryptography, Blood Pressure, Body Area Networks, Body Temperature, Electrocardiogram, Physiological Signals
  • Istanbul Medipol University Affiliated: Yes

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.