title: SVD-based on-line exercise ECG signal orthogonalization.
abstract: An orthogonalization method to eliminate unwanted signal components in standard 12-lead exercise electrocardiograms (ECG's) is presented in this work. A singular-value-decomposition-based algorithm is proposed to decompose the signal into two time-orthogonal subspaces; one containing the ECG and the other containing artifacts like baseline wander and electromyogram. The method makes use of redundancy in 12-lead ECG. The same method is also tested for reconstruction of a completely lost channel. The online implementation of the method is given. It is observed that the first two decomposed channels with highest energy are sufficient to reconstruct the ST-segment and J-point. The dimension of the signal space, on the other hand, does not exceed three. Data from 23 patients, with duration ranging from 9 to 21 min, are used.
authors: Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey.
authors: B
authors: B
authors: Acar
authors: H
authors: H
authors: Köymen
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D005080:Exercise Test / Q000379:methods*; D006801:Humans; D016014:Linear Models; D008838:Microcomputers; D012815:Signal Processing, Computer-Assisted; D012985:Software Design