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RESEARCH PRODUCT

Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm

Aikaterini VrakaAurelio QuesadaLuca FaesJose J. RietaRaúl AlcarazFernando Hornero

subject

Physicsmedicine.medical_specialtyParoxysmal atrial fibrillation0206 medical engineeringAtrial fibrillation02 engineering and technology030204 cardiovascular system & hematologymedicine.disease020601 biomedical engineeringSubstrate (marine biology)TECNOLOGIA ELECTRONICA03 medical and health sciences0302 clinical medicineAmplitudeDuration (music)Internal medicineAtrial FibrillationCardiologymedicineSinus rhythmCoronary sinus

description

[EN] Analysis of coronary sinus (CS) electrograms (EGMs) is vastly used for the assessment of the atrial fibrillation (AF) substrate. As a catheter consists of five dipoles (distal, mid-distal, medial, mid-proximal, proximal), results may vary upon the employed channel: myocardial contraction and bad contact are unavoidable factors affecting the recording. This work aims to specify the most reliable channels in catching AF dynamics, using 44 multichannel bipolar CS recordings in sinus rhythm (SR) of paroxysmal AF with 1-5 minutes duration. Local activation waves (LAWs) were detected and main features obtained: duration, amplitude, area and correlation between dominant morphologies of each channel. Analysis was performed with Kruskal-Wallis test for multichannel comparison and Mann-Whitney U-test for pairs of channels and comparison between one and the remaining channels, using Bonferroni correction. Median values were calculated. Distal channel presented the highest alteration in LAWs features, being the least correlated channel (82.84 - 88.31%) with the lowest amplitude and area (p(max) < 0.01). Contrastly, medial and mid-proximal channels showed the most robust LAW characteristics, with very high correlation (94.53%) and high area and amplitude values (p(max) < 0.02 and p(max) < 0.07, respectively) and their analysis is recommended for AF substrate characterization during SR

10.22489/cinc.2020.166https://doi.org/10.22489/cinc.2020.166