Ventricular Activity Signal Removal in Atrial Electrograms of Atrial Fibrillation

Ventricular Activity Signal Removal in Atrial Electrograms of Atrial Fibrillation

Abdi, Bahareh (TU Delft Signal Processing Systems)
Hendriks, R.C. (TU Delft Signal Processing Systems)
van der Veen, A.J. (TU Delft Signal Processing Systems)
de Groot, N.M.S. (Erasmus MC)

Putze, Felix (editor)
Fred, Ana (editor)
Gamboa, Hugo (editor)

2019

Diagnosis and treatment of atrial fibrillation can benefit from various signal processing approaches employed on atrial electrograms. However, the performance and interpretation of these approaches get highly degraded by far-field ventricular activities (VAs) that distort the morphology of the pure atrial activities (AAs). In this study, we aim to remove VAs from the recorded unipolar electrogram while preserving the AA components. To do so, we have developed a framework which first removes the VA-containing segments and interpolates the remaining samples. This will also partly remove the atrial components that overlap with VA signals, e.g., during atrial fibrillation. To reconstruct the AA components, we estimate them from the removed VA-containing segments based on a low-rank and sparse matrix decomposition and add them back to the electrograms. The presented framework is of rather low complexity, preserves AA components, and requires only a single EGM recording. Instrumental comparison to template matching and subtraction and independent component analysis shows that the proposed approach leads to smoother results with better similarity to the true atrial signal.

Atrial and ventricular source separation
Atrial electrogram
Atrial fibrillation
Low-rank and sparse matrix decomposition

http://resolver.tudelft.nl/uuid:812c366b-7114-40b7-8a5b-3acd95e93c07

https://doi.org/10.5220/0007388901790184

SciTePress

978-989758353-7

BIOSIGNALS 2019: 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019, 4

12th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019, 2019-02-22 → 2019-02-24, Prague, Czech Republic

Institutional Repository

conference paper

© 2019 Bahareh Abdi, R.C. Hendriks, A.J. van der Veen, N.M.S. de Groot