3-Dimensional ventricular electrical activation pattern assessed from a novel high-frequency electrocardiographic imaging technique: principles and clinical importance

Autor: Uyên Châu Nguyên, Karol Curila, Pavel Leinveber, Frits W. Prinzen, Laura Bear, Ivo Viscor, Petr Andrla, Matthijs J. M. Cluitmans, Rémi Dubois, Vlastimil Vondra, Emma Abell, Filip Plesinger, Josef Halamek, Pavel Jurák
Přispěvatelé: Cardiologie, RS: Carim - H04 Arrhythmogenesis and cardiogenetics, Fysiologie, RS: Carim - H06 Electro mechanics
Rok vydání: 2021
Předmět:
Zdroj: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
Scientific Reports, 11(1):11469. Nature Publishing Group
ISSN: 2045-2322
Popis: The study introduces and validates a novel high-frequency (100–400 Hz bandwidth, 2 kHz sampling frequency) electrocardiographic imaging (HFECGI) technique that measures intramural ventricular electrical activation. Ex-vivo experiments and clinical measurements were employed. Ex-vivo, two pig hearts were suspended in a human-torso shaped tank using surface tank electrodes, epicardial electrode sock, and plunge electrodes. We compared conventional epicardial electrocardiographic imaging (ECGI) with intramural activation by HFECGI and verified with sock and plunge electrodes. Clinical importance of HFECGI measurements was performed on 14 patients with variable conduction abnormalities. From 3 × 4 needle and 108 sock electrodes, 256 torso or 184 body surface electrodes records, transmural activation times, sock epicardial activation times, ECGI-derived activation times, and high-frequency activation times were computed. The ex-vivo transmural measurements showed that HFECGI measures intramural electrical activation, and ECGI-HFECGI activation times differences indicate endo-to-epi or epi-to-endo conduction direction. HFECGI-derived volumetric dyssynchrony was significantly lower than epicardial ECGI dyssynchrony. HFECGI dyssynchrony was able to distinguish between intraventricular conduction disturbance and bundle branch block patients.
Databáze: OpenAIRE