Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 134, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2021.104467
Keywords
Atrial fibrillation; Atrial mapping; Electrograms; Electrode size; Electrogram morphology; Activation map; Local activation time; Electrogram interpolation
Categories
Funding
- Top Sector Life Sciences Health
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The study explores the impact of electrode size on properties of recorded electrogram arrays using both simulated and clinical data. Results show that increasing electrode size can lead to higher error in LAT estimation, decreased conduction block lines length, more homogeneous activation maps, increased low voltage areas, and decreased slopes and number of deflections, with more pronounced effects in tissues with higher heterogeneity in conduction pattern. These findings should be taken into consideration in analysis and comparison of electrogram arrays related to atrial fibrillation.
Background: Atrial electrograms recorded from the epicardium provide an important tool for studying the initiation, perpetuation, and treatment of AF. However, the properties of these electrograms depend largely on the properties of the electrode arrays that are used for recording these signals. Method: In this study, we use the electrode's transfer function to model and analyze the effect of electrode size on the properties of measured electrograms. To do so, we use both simulated as well as clinical data. To simulate electrogram arrays we use a two-dimensional (2D) electrogram model as well as an action propagation model. For clinical data, however, we first estimate the trans-membrane current for a higher resolution 2D modeled cell grid and later use these values to interpolate and model electrograms with different electrode sizes. Results: We simulate electrogram arrays for 2D tissues with 3 different levels of heterogeneity in the conduction and stimulation pattern to model the inhomogeneous wave propagation observed during atrial fibrillation. Four measures are used to characterize the properties of the simulated electrogram arrays of different electrode sizes. The results show that increasing the electrode size increases the error in LAT estimation and decreases the length of conduction block lines. Moreover, visual inspection also shows that the activation maps generated by larger electrodes are more homogeneous with a lower number of observed wavelets. The increase in electrode size also increases the low voltage areas in the tissue while decreasing the slopes and the number of detected deflections. The effect is more pronounced for a tissue with a higher level of heterogeneity in the conduction pattern. Similar conclusions hold for the measurements performed on clinical data. Conclusion: The electrode size affects the properties of recorded electrogram arrays which can respectively complicate our understanding of atrial fibrillation. This needs to be considered while performing any analysis on the electrograms or comparing the results of different electrogram arrays.
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