Extracting ECG signal characteristics based on non-linear transformations and wavelets

Extracting ECG signal characteristics based on non-linear transformations and wavelets

Different extraction methods were compared regarding the characteristics of normal ECG signals and those emitted in the presence of events related to ischemic cardiopathy based on diagnosis measurements, wavelet transformation and nonlinear analysis of main components. Methods were developed for aut...

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Bibliographic Details
Main Authors: Victoria Eugenia Montes, Gustavo A Guarín, Germán Castellanos Domínguez
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2005-09-01
Series:Ingeniería e Investigación
Subjects:
ECG
ischemic heart disease
feature extraction
wavelets
nonlinear transformations
PCA
KPCA
Online Access:https://revistas.unal.edu.co/index.php/ingeinv/article/view/14661

Internet

https://revistas.unal.edu.co/index.php/ingeinv/article/view/14661

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