Using the HF ECG technique, we showed that the ventricular electrical delay computed from V1–V6 lead signals of a cohort from MADIT-CRT trial could predict the probability of survival in CRT patients more effectively than standard ECG derived dyssynchrony parameters 13. Recently, we have reported about high-frequency (HF, 150–400 Hz) and ultra-high-frequency (UHF, 150–1000 Hz) 12–14-lead ECG analysis to compute ventricular electrical dyssynchrony before and during pacing device implantation 11, 12. The limitation of ECGI is epicardial activation only and frequent artificial clustering of activation times. Still, there are uncertainties in how to best assess the electrical substrate for cardiac pacing in clinical practice. With respect to the latter, ECGI was shown to improve the prediction of response to cardiac resynchronization therapy (CRT) 7, 8, 9, 10. The accuracy of reconstruction of epicardial potentials has been invasively validated on animals and humans 3, 4, 5.ĮCGI has been used for multiple analyses of ventricular activation and repolarization during normal synchronous activation, pacing, arrhythmia 3, 6, and for purposes of ventricular dyssynchrony assessment 7. The most commonly used implementation of ECGI estimates epicardial potentials and epicardial electrical activation times (EAT) 2. HFECGI dyssynchrony was able to distinguish between intraventricular conduction disturbance and bundle branch block patients.Įlectrocardiographic imaging (ECGI) is a noninvasive cardiac electrical procedure that determines heart activity noninvasively from body-surface potential recordings through inverse reconstruction 1. HFECGI-derived volumetric dyssynchrony was significantly lower than epicardial ECGI dyssynchrony. 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. 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. Clinical importance of HFECGI measurements was performed on 14 patients with variable conduction abnormalities. We compared conventional epicardial electrocardiographic imaging (ECGI) with intramural activation by HFECGI and verified with sock and plunge electrodes. Ex-vivo, two pig hearts were suspended in a human-torso shaped tank using surface tank electrodes, epicardial electrode sock, and plunge electrodes. Ex-vivo experiments and clinical measurements were employed. 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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |