NDLI: An on-line ischemia monitoring algorithm for mobile devices

Content Provider	IEEE Xplore Digital Library
Author	Dranca, L. Goni, A. Rodriguez, J. Burgos, A. Illarramendi, A.
Copyright Year	2005
Description	Author affiliation: Univ. of the Basque Country, San Sebastian (Dranca, L.; Goni, A.; Rodriguez, J.; Burgos, A.; Illarramendi, A.)
Abstract	The early diagnosis of ischemic events may prevent irreversible damage to the heart muscle. Mobile devices like PDAs provided with wireless communication links are being used successfully in order to build on line monitoring systems. The aim of this paper is to show an ischemia classifier with high rates of sensitivity and positive predictivity and also able to run in real time that can be implemented on a mobile device like a PDA. The LTST database (43 recordings version) has been used to develop and validate the results of the classifier, considering the ischemic and heart rate related events together. The sensitivity of the classifier is 80.65% for episodes annotated according to C protocol and the positive predictivity is 73.11% for episodes annotated according to A protocol in the LTST database
Starting Page	861
Ending Page	864
File Size	141600
Page Count	4
File Format	PDF
ISBN	0780393376
DOI	10.1109/CIC.2005.1588241
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ischemic pain Monitoring Electrocardiography Personal digital assistants Event detection Databases Mobile computing Protocols Myocardium Signal analysis
Content Type	Text
Resource Type	Article

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