SVD-based on-line exercise ECG signal orthogonalization
IEEE Transactions on Biomedical Engineering
Acar, B., & Köymen, H. (1999). SVD-based on-line exercise ECG signal orthogonalization. Biomedical Engineering, IEEE Transactions on, 46(3), 311-321.
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/10930
An orthogonalization method to eliminate unwanted signal components in standard 12-lead exercise electrocardiograms (ECG’s) is presented in this work. A singular-valuedecomposition-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 STsegment 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.