Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4973457 | Biomedical Signal Processing and Control | 2017 | 9 Pages |
Abstract
We present one such targeted adaptive signal decomposition of intra-cardiac electrograms during VF, to automatically extract morphologies previously observed in relation to the vicinity of rotor phenomenon (i.e. an event of interest during VF). Using a Gabor dictionary and Matching Pursuits (MP), the proposed method successfully performed targeted signal decomposition in highlighting signal structures that could be used to determine the ventricular electrogram's vicinity to a rotor in the epicardium. A comparative analysis using the MP with a proposed choice function (PÂ <Â 0.001) against the standard choice function (PÂ <Â 0.5688) performed better in segregating the electrogram data (130 electrograms from 7 isolated human hearts) based on the signal structures.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Krishnanand Balasundaram, Stephane Masse, Talha Farid, Krishnakumar Nair, John Asta, Robert J. Cusimano, Edward Vigmond, Kumaraswamy Nanthakumar, Karthikeyan Umapathy,