Conference paper
Syntactic recognition of common cardiac arrhythmias
Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.155-156
IEEE
Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers (Baltimore, MD, USA, 03/11/1994–06/11/1994)
1994
Abstract
Outlines a syntactic approach to the recognition of common cardiac arrhythmias within a single ambulatory ECG trace. This methodology essentially involves the annotation of an electrocardiogram trace in terms of the syntax primitives and the subsequent parsing of these annotations into various syntactic forms that describe their appropriate arrhythmia. The syntax primitives, which the authors collectively term arrlets, are a set of curves, which are modelled as a series expansion of orthonormal hermite basis functions. By using as features the parameters of this model, a probabilistic neural network is then employed to detect the occurrences of arrlets within an ECG trace. The approach was evaluated using data from the MIT-BIH arrhythmia database
Details
- Title
- Syntactic recognition of common cardiac arrhythmias
- Authors/Creators
- A.I. Rasiah (Author/Creator) - The University of Western AustraliaY. Attikiouzel (Author/Creator) - The University of Western Australia
- Publication Details
- Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.155-156
- Conference
- Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers (Baltimore, MD, USA, 03/11/1994–06/11/1994)
- Publisher
- IEEE
- Identifiers
- 991005541391307891
- Copyright
- © 1994 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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