An automated patient authentication system for remote telecardiology

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, United States, 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	United States
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
Copyright notice	© 2008 IEEE
ISBN	9781424429578

Citation counts:	Cited 4 times in Scopus Article \| Citations
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