NDLI: Processing of intracardiac electrograms in atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Houben, R.P.M. Allesie, M.A.
Copyright Year	1983
Abstract	This paper presents a method for the automated processing of atrial fibrillation (AF) electrograms for the diagnosis of the electropathological substrate of AF and to monitor the effects of ablation procedures and anti-arrhythmic drug treatment on the characteristics of AF. Template matching is a well-known signal processing technique that has been proven useful in various other applications like processing of medical images and fingerprint verification. One of the advantages of this technique is that, because the involved calculations are not very complex, it can easily be applied in real time by using digital hardware. All it requires is the acquisition of fibrillation electrograms, analog-to-digital conversion, and a template matching algorithm downloaded in state-of-the-art digital signal processors. This will provide an objective characterization of fibrillation electrograms that in case of recording of multiple electrograms will produce real-time movies of the propagation of fibrillation waves through the atria. This will allow real-time identification of areas with preferential intra-atrial conduction block, rotor activity, or a focal spread of activation. The further development of algorithms for automatic analysis of fibrillation electrograms, therefore, is not only of scientific interest but may also allow individual evaluation of the atrial substrate, thus providing a basis for selecting the most appropriate treatment of AF
Page Count	12
File Size	1878783
Starting Page	40
Ending Page	51
File Format	PDF
ISSN	07395175
Volume Number	25
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atrial fibrillation Signal processing algorithms Biomedical monitoring Computerized monitoring Drugs Medical treatment Signal processing Biomedical imaging Medical diagnostic imaging Fingerprint recognition
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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