IMI-BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Book Series Information Science and Computing >
2008 >
Book 5 Intelligent Technologies and Applications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1107

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
Express-Diagnostics
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.
URI: http://hdl.handle.net/10525/1107
ISSN: 1313-0455
Appears in Collections:Book 5 Intelligent Technologies and Applications

Files in This Item:

File Description SizeFormat
IBS-05-p07.pdf162.87 kBAdobe PDFView/Open

 



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback