An automated patient authentication system for remote telecardiology

Khalil, I and Sufi, F 2008, 'An automated patient authentication system for remote telecardiology', in A. Bouzerdoum (ed.) Fourth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Sydney, NSW, 15-18 December 2008, pp. 279-284.


Document type: Conference Paper
Collection: Conference Papers

Title An automated patient authentication system for remote telecardiology
Author(s) Khalil, I
Sufi, F
Year 2008
Conference name Fourth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Conference location Sydney, NSW
Conference dates 15-18 December 2008
Proceedings title Fourth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Editor(s) A. Bouzerdoum
Publisher IEEE
Place of publication United States
Start page 279
End page 284
Total pages 6
Abstract Cardiovascular disease (CVD) being the number one killer for many of the developed nations, real-time patient monitoring via the mobile phone network is increasingly becoming popular. The CVD patients, as subscribers for the CVD monitoring service providers, access to the facilities before initiating the dedicated services. However, this authentication must be secured, since the service providers often hold sensitive health information of their subscribers. In this paper, we propose a fully automated and integrated cardiovascular patient authentication system using patients ECG as a biometric entity. The proposed ECG recognition method is up to 12 time faster than existing ECG based biometric algorithms, requires up to 6.5 times less template storage, needs only 2.49 (average) acquisition time with the a high accuracy rate (up to 95%) when experimented a small population size of 15. With this new authentication mechanism in place, the cardiovascular patients no longer need to provide additional details like user name or password for identification purposes to access their health monitoring facility, making the remote tele-cardiology application faster than existing authentication approaches.
Subjects Automotive Engineering not elsewhere classified
Keyword(s) Engineering controlled terms: Authentication
Biometrics
Chemical vapor deposition
Electrocardiography
Electrochromic devices
Intelligent control
Patient monitoring
Population statistics
Smart sensors
Telecommunication equipment
Telephone circuits
Wireless networks Engineering uncontrolled terms: Accuracy rates
Acquisition time
Authentication mechanisms
Authentication systems
Biometric algorithms
Cardiovascular disease
Health informations
Health-monitoring
Mobile phone networks
Monitoring services
Recognition methods
Service providers
Small populations
Telecardiology
User names Engineering main heading: Sensor networks
DOI - identifier 10.1109/ISSNIP.2008.4762000
Copyright notice © 2008 IEEE
ISBN 9781424429578
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