Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Electrocardiogram (ECG) biometric authentication using pulse active ratio (PAR)

Bin Safie, Sairul Izwan and Soraghan, John and Petropoulakis, Lykourgos (2011) Electrocardiogram (ECG) biometric authentication using pulse active ratio (PAR). IEEE Transactions on Information, Forensics, and Security, 6 (4). 1315 - 1322. ISSN 1556-6013

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper presents a new feature extraction method known as Pulse Active Ratio (PAR) implemented on electrocardiograph (ECG) signals for biometric authentication. This method is developed based on a simple amplitude comparison between two signals to extract a feature. A total of 486 ECGs from 113 subjects taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in this study. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. It is shown in this study that PAR outperformed conventional temporal feature extraction techniques.