Evaluation and assessment of clique arrangements for the estimation of omnipolar electrograms in high density electrode arrays: an experimental animal model study
Por:
Ruipérez-Campillo S, Crespo M, Tormos A, Guill A, Cebrián A, Alberola A, Heimer J, Chorro F, Millet J, Castells F
Publicada:
1 sep 2023
Ahead of Print:
1 jun 2023
Resumen:
High-density catheters combined with Orientation Independent Sensing (OIS) methods have emerged as a groundbreaking technology for cardiac substrate characterisation. In this study, we aim to assess the arrangements and constraints to reliably estimate the so-called omnipolar electrogram (oEGM). Performance was evaluated using an experimental animal model. Thirty-eight recordings from nine retrospective experiments on isolated perfused rabbit hearts with an epicardial HD multielectrode were used. We estimated oEGMs according to the classic triangular clique (4 possible orientations) and a novel cross-orientation clique arrangement. Furthermore, we tested the effects of interelectrode spacing from 1 to 4 mm. Performance was evaluated by means of several parameters that measured amplitude rejection ratios, electric field loop area, activation pulse width and morphology distortion. Most reliable oEGM estimations were obtained with cross-configurations and interelectrode spacings = 2 mm. Estimations from triangular cliques resulted in wider electric field loops and unreliable detection of the direction of the propagation wavefront. Moreover, increasing interelectrode distance resulted in increased pulse width and morphology distortion. The results prove that current oEGM estimation techniques are insufficiently accurate. This study opens a new standpoint for the design of new-generation HD catheters and mapping software.
Filiaciones:
Ruipérez-Campillo S:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Swiss Fed Inst Technol, Dept Informat Technol & Elect Engn, Zurich, Switzerland
Stanford Univ, Sch Med, Stanford, CA 94305 USA
Crespo M:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Tormos A:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Guill A:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Cebrián A:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Alberola A:
Univ Valencia, Dept Fisiol, Valencia, Spain
Ctr Invest Biomed Red Enfermedades Cardiovasc CIB, Madrid, Spain
Heimer J:
Swiss Fed Inst Technol, Dept Math Seminar Stat, Zurich, Switzerland
Chorro F:
Ctr Invest Biomed Red Enfermedades Cardiovasc CIB, Madrid, Spain
Univ Valencia, Dept Med, Valencia, Spain
Hosp Clin Univ Valencia, Serv Cardiol, Valencia, Spain
Millet J:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Ctr Invest Biomed Red Enfermedades Cardiovasc CIB, Madrid, Spain
Castells F:
Univ Politecn Valencia, ITACA Inst, Valencia, Spain
Green Published, hybrid
|