Online exercise ECG signal orthogonalization
Date
1996
Authors
Acar, B.
Köymen H.
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Abstract
In this paper an efficient method of making use of the redundancy in standard 12 lead ECG signals to eliminate noise is described. The method is based on orthogonalization via online Singular Value Decomposition (SVD). Its application as a filter to remove EMG noise and baseline wander are explained. A comparative study of ST analysis results of original and processed exercise ECG data is reported.
Description
Keywords
Algorithms, Approximation theory, Eigenvalues and eigenfunctions, Matrix algebra, Online systems, Signal filtering and prediction, Spurious signal noise, Baseline wander, Exercise electrocardiograms, Orthogonalization, Singular value decomposition, Electrocardiography