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Title: Normal ECG Recognition for Express-Diagnostics Based on Scale-Space Representation and Dynamic Matching
Authors: Bilous, Nataliya
Bondarenko, Michael
Kobzar, Gleb
Krasov, Alexey
Rogozyanov, Artyom
Keywords: Electrocardiogram
Curvature Scale-Space
Dynamic Programming
Dynamic Time Wrapping
Pattern Recognition
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: A novel approach of normal ECG recognition based on scale-space signal representation is proposed. The approach utilizes curvature scale-space signal representation used to match visual objects shapes previously and dynamic programming algorithm for matching CSS representations of ECG signals. Extraction and matching processes are fast and experimental results show that the approach is quite robust for preliminary normal ECG recognition.
ISSN: 1313-0455
Appears in Collections:Book 5 Intelligent Technologies and Applications

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