UHF-ECG Bibliography 

Curila K, Jurak P, Prinzen F., et al. Bipolar anodal septal pacing with direct LBB capture preserves physiological Ventricular activation better than unipolar left bundle branch pacing. Front.Cardiovasc. Med.,22 March 2023. https://www.frontiersin.org/articles/10.3389/fcvm.2023.1140988/full

Mizner J, Jurak P, Linkova H, Smisek R, Curila K. Ventricular dyssynchrony and pacing-induced cardiomyopathy in patients with pacemakers, the utility of ultra-high-frequency ECG and other dyssynchrony assessment tools.Arrhythmia & Electrophysiology Review. 2022;11. doi:10.15420/aer.2022.01

Jurak P, Bear L, Nguyên U, et al. 3-Dimensional Ventricular Electrical Activation Pattern Assessed from A Novel High-Frequency Electrocardiographic Imaging Technique: Principles and Clinical Importance. Scientific Reports.11.2021

https://www.nature.com/articles/s41598-021-90963-4

Curila K, Jurak P, Jastrzebski M, et al. Left bundle branch pacing compared to left ventricular septal myocardial pacing increases interventricular dyssynchrony but accelerates left ventricular lateral wall depolarization. Heart Rhythm. 2021;18(8):1281-1289. doi:10.1016/j.hrthm.2021.04.025

Curila K, Jurak P, Halamek J, et al. Ventricular Activation Pattern Assessment during Right Ventricular Pacing; Ultra-High-Frequency ECG Study. Journal of Cardiovascular Electrophysiology. 2021. https://onlinelibrary.wiley.com/doi/full/10.1111/jce.14985

Prinzen FW, Jurak P, Leinveber P, Plesinger F, Curila K, Halamek J. Comparison of UHF-ECG with other noninvasive electrophysiological mapping tools for assessing ventricular dyssynchrony. In: 2021Computing in Cardiology (CinC).IEEE; 2021. http://dx.doi.org/10.23919/cinc53138.2021.9662706

Curila K, Jurak P, Leinveber P, et al. Physiological versus non-physiological cardiac pacing as assessed by Ultra-high-frequency electrocardiography. In: 2021Computing in Cardiology (CinC). IEEE; 2021. http://dx.doi.org/10.23919/cinc53138.2021.9662912

Plesinger F, Viscor I, Vondra V, et al. VDI Vision - Analysis of Ventricular Electrical Dyssynchrony in Real-Time. In: 2021Computing in Cardiology (CinC). IEEE; 2021. http://dx.doi.org/10.23919/cinc53138.2021.9662916

Koscova Z, Ivora A, Nejedly P, et al. QRS Complex Detection in Paced and Spontaneous Ultra-High-Frequency ECG. In: 2021Computing in Cardiology (CinC). IEEE; 2021. http://dx.doi.org/10.23919/cinc53138.2021.9662647

Jurak P, Leinveber P, Plesinger F, et al. Ultra-High-Frequency Electrocardiography. In: 2021 Computing in Cardiology (CinC).IEEE; 2021. http://dx.doi.org/10.23919/cinc53138.2021.9662795

Jurak P, Curila K, Leinveber P, et al. Bothselective and nonselective His bundle, but not myocardial, pacing preserve ventricular electrical synchrony assessed by ultra-high-frequency ECG.Heart Rhythm.2020;17(4):607-614. doi:10.1016/j.hrthm.2019.11.016

Jurak P, Curila K, Leinveber P, et al. Novelultra‐high‐frequency electrocardiogram tool for the description of the ventricular depolarization pattern before and during cardiac resynchronization.Journal of Cardiovascular Electrophysiology.2019;31(1):300-307. doi:10.1111/jce.14299

Leinveber P, Halamek J, Jurak P, et al. The Ultra-High-Frequency QRS Dyssynchrony in the Assessment of Cardiac Resynchronization Therapy Effect. In: 2019 Computing in Cardiology Conference (CinC).2019. http://dx.doi.org/10.22489/cinc.2019.368

Matejkova M, Lipoldova J, Leinveber P, et al. Optimized CRT Stimulation Based on Ultra-High-Frequency QRS Analysis. In: 2019 Computing in Cardiology Conference (CinC). 2019. http://dx.doi.org/10.22489/cinc.2019.071

Halamek J, Leinveber P, Viscor I, et al. Cardiac Resynchronization Guided by Ultra-High-Frequency ECG Maps. In: 2019 Computing in Cardiology Conference (CinC). 2019. http://dx.doi.org/10.22489/cinc.2019.246

Halamek J, Leinveber P, Viscor I, et al. The relationship between ECG predictors of cardiac resynchronization therapy benefit. PLOS ONE.2019;14(5):e0217097. doi:10.1371/journal.pone.0217097

Halamek J, Leinveber P, Malik M, et al. High-Frequency QRS Analysis From Orthogonal Leads. In: 2018 Computing in Cardiology (CinC). 2018. http://dx.doi.org/10.22489/cinc.2018.051

Andrla P, Leinveber P, Châu Nguyên U, et al. Body-Surface Mapping Using High-Frequency ECG to Characterize Electrical Activation Delay. In: 2018 Computing in Cardiology. 2018. http://dx.doi.org/10.22489/cinc.2018.105

Jurak P, Châu Nguyên U,Viscor I, et al. Epicardial Isochrones from a New High-Frequency ECG Imaging Technique. In: 2018 Computing in Cardiology (CinC). 2018. http://dx.doi.org/10.22489/cinc.2018.088

Plesinger F, Jurak P, Halamek J, et al. veber P, Viscor I, Jurak P. A Method for Removing Pacing Artifacts From Ultra-High-Frequency Electrocardiograms. In: 2018 Computing in Cardiology (CinC).2018.http://dx.doi.org/10.22489/cinc.2018.106p://dx.doi.org/10.22489/cinc.2018.339

Andrla P, Plesinger F, Halamek J, Leinveber P, Viscor I, Jurak P. A Method for Removing Pacing Artifacts From Ultra-High-Frequency Electrocardiograms. In: 2018 Computing in Cardiology (CinC).2018.http://dx.doi.org/10.22489/cinc.2018.106

Plesinger F, Jurak P, Halamek J, et al. VentricularElectrical Delay Measured From Body Surface ECGs Is Associated With Cardiac Resynchronization Therapy Response in Left Bundle Branch Block Patients From the MADIT-CRT Trial (Multicenter Automatic Defibrillator Implantation-Cardiac Resynchronization Therapy). Circulation: Arrhythmia and Electrophysiology. 2018;11(5). doi:10.1161/circep.117.005719

Jurak P, Halamek J, Meluzin J, et al. Ventricular dyssynchrony assessment using ultra-high frequency ECG technique. Journal of interventional Cardiac Electrophysiology. 2017;49(3):245-254. doi:10.1007/s10840-017-0268-0

Halamek J, Leinveber P, Plesinger F, Matejkova M, Jurak P. Attenuation of QRS Power in the Frequency Range from 0.05 to 1 kHz. In: Computing in Cardiology (CinC). 2017. http://dx.doi.org/10.22489/cinc.2017.096-110

Plesinger F, Jurak P, Halamek J, et al. The VED Meter - a New Tool to Measure the Ventricular Conduction Abnormalities in Heart Failure Patients. In: Computingin Cardiology (CinC). 2017. http://dx.doi.org/10.22489/cinc.2017.377-059

Leinveber P, Halamek J, Jurak P. Ambulatory monitoring of myocardial ischemia in the 21st century—an opportunity for high-frequency QRS analysis. Journal of Electrocardiology. 2016;49(6):902-906. doi:10.1016/j.jelectrocard.2016.07.034

Jurak P, Leinveber P, Halamek J, et al. Biventricular Pacing Optimization by Means of the Dyssynchrony Parameter. In: 2016Computing in Cardiology (CinC).2016. http://dx.doi.org/10.22489/cinc.2016.051-263

Reichlova T, Jurak P, Halamek J, et al. Cardiac resynchronization efficiency estimation by new ultra-high-frequency ECG dyssynchrony descriptor. In: 2015 Computing in Cardiology (CinC).IEEE; 2015. http://dx.doi.org/10.1109/cic.2015.7410964

Jurak P, Halamek J, Plesinger F, et al. An additional marker of ventricular dyssynchrony. In: 2015 Computing in Cardiology (CinC).IEEE; 2015. http://dx.doi.org/10.1109/cic.2015.7408590

Plesinger F, Jurco J, Halamek J, Leinveber P, Reichlova T, Jurak P. Multichannel QRS Morphology Clustering - Data Preprocessing for Ultra-High-Frequency ECG Analysis. In: Proceedingsof the 3rd International Congress on Cardiovascular Technologies.SCITEPRESS - Science and and Technology Publications; 2015. http://dx.doi.org/10.5220/0005604200110019

Jurak P, Halamek J, Leinveber P, et al. Time-frequency interpretation of ultra-high-frequency QRS components. In: 20148th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).IEEE; 2014. http://dx.doi.org/10.1109/esgco.2014.6847526

Jurak P, Halamek J, Leinveber P, Vondra V, Soukup L, Vesely P, Sumbera J, Zeman K, Martinakova L, Jurakova T, Novak M. Ultra-high-frequency ECG measurement. In:2013, Computing in Cardiology (CinC).IEEE; 2013 http://cinc.mit.edu/archives/2013/pdf/0783.pdf