EKG beat analysis: Minimising redundancy between detection and classification

John Darrington, Livia Hool

Research output: Contribution to conferenceConference presentation/ephemerapeer-review

Abstract

Detection and classification of heart beats in EKG signals are important problems in biomedical engineering. Whilst classification is dependent upon detection, it is traditionally regarded as a separate task. Hence, the literature considers each task in isolation and places little emphasis upon re-use of information collected. This paper examines existing methods of detection and classification, and suggests a novel technique where the method of collecting classification data is a generalisation of that used to collect the detection data. Such optimisation has the potential to reduce the processor load and is important for real-time applications.

Original languageEnglish
Pages148-153
Number of pages6
Publication statusPublished - 2007
Event5th IASTED International Conference on Biomedical Engineering, BioMED 2007 - Innsbruck, Austria
Duration: 14 Feb 200716 Feb 2007

Conference

Conference5th IASTED International Conference on Biomedical Engineering, BioMED 2007
Country/TerritoryAustria
CityInnsbruck
Period14/02/0716/02/07

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