Improved Local Activation Time Annotation in Fractionated Atrial Electrograms of Atrial Mappings

This collection of MATLAB code relates to work by Abdi et al. [1]. The main focus of this paper is on developing a new approach for a better estimation of LATs in fractionated electrograms. A deconvolution-based method is proposed that exploits the high-resolution multi-electrode electrogram recordings during atrial mapping to amplify local activities in each of the electrograms. The required electrode array specifications are discussed, including the spatial resolution and electrode diameter for an appropriate electrogram array recording and deconvolution.

Simulated atrial electrograms can be generated (run_data_simulation.m), or data in the data folder can be used to reproduce the images and results for tissue T4 [1, Fig. 2], for estimating local electrograms and LATs using the proposed deconvolution approach (run_transCurr_and_LAT_estimation.m).

[1] B. Abdi, R. C. Hendriks, A.-J. van der Veen, and N. M. de Groot, “Improved local activation time annotation of fractionated atrial electrograms for atrial mapping”,Improved local activation time annotation of fractionated atrial electrograms for atrial mapping, vol. 117, Feb. 2020, Art. no. 103590.

Related publications

1. Improved local activation time annotation of fractionated atrial electrograms for atrial mapping
   Bahareh Abdi; Richard C. Hendriks; Alle-Jan van der Veen; Natasja M.S. de Groot;
   Computers in Biology and Medicine,
   Volume 117, February 2020. ISSN: 0010-4825. DOI: 10.1016/j.compbiomed.2019.103590
   document