EKG Beat Analysis: Minimising Redundancy between Detection and Classification

J. Darrington and L. Hool (Australia)


EKG, Detection, Classification, RealTime


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 consid ers each task in isolation and places little emphasis upon re-use of information collected. This paper examines exist ing methods of detection and classification, and suggests a novel technique where the method of collecting classifica tion data is a generalisation of that used to collect the detec tion data. Such optimisation has the potential to reduce the processor load and is important for real-time applications.

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