IBT Publications by Mueller-Edenborn


Journal Articles (8)

D. Nairn, M. Eichenlaub, B. Müller-Edenborn, H. Lehrmann, C. Nagel, L. Azzolin, G. Luongo, R. Figueras Ventura, B. Rubio Forcada, A. Colomer, T. Arentz, O. Dössel, A. Loewe, and A. Jadidi.
LGE-MRI for diagnosis of left atrial cardiomyopathy as identified in high-definition endocardial voltage and conduction velocity mapping.
In medRxiv, 2022
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D. Nairn, M. Eichenlaub, H. Lehrmann, B. Müller-Edenborn, J. Chen, T. Huang, C. Nagel, J. Sánchez, G. Luongo, T. Arentz, O. Dössel, A. Jadidi, and A. Loewe.
Spatial Correlation of Left Atrial Low Voltage Substrate in Sinus Rhythm versus Atrial Fibrillation: Identifying the Pathological Substrate Irrespective of the Rhythm.
2022
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G. Luongo, F. Rees, D. Nairn, M. W. Rivolta, O. Dössel, R. Sassi, C. Ahlgrim, L. Mayer, F.-J. Neumann, T. Arentz, A. Jadidi, A. Loewe, and B. Müller-Edenborn.
Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure.
In Frontiers in Cardiovascular Medicine, vol. 9, 2022
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G. Luongo, L. Azzolin, S. Schuler, M. W. Rivolta, T. P. Almeida, J. P. Martínez, D. C. Soriano, A. Luik, B. Müller-Edenborn, A. Jadidi, O. Dössel, R. Sassi, P. Laguna, and A. Loewe.
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG.
In Cardiovascular Digital Health Journal, vol. 2(2) , pp. 126-136, 2021
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M. Eichenlaub, B. Mueller-Edenborn, H. Lehrmann, J. Minners, D. Nairn, A. Loewe, J. Allgeier, N. Jander, M. Allgeier, P. Ruile, M. Hein, F. Rees, D. Trenk, R. Weber, F.-J. Neumann, T. Arentz, and A. Jadidi.
Non-invasive body surface electrocardiographic imaging for diagnosis of atrial cardiomyopathy.
In EP Europace, vol. 23(12) , pp. 2010-2019, 2021
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A. Jadidi, M. Nothstein, J. Chen, H. Lehrmann, O. Dössel, J. Allgeier, D. Trenk, F.-J. Neumann, A. Loewe, B. Müller-Edenborn, and T. Arentz.
Specific Electrogram Characteristics Identify the Extra-Pulmonary Vein Arrhythmogenic Sources of Persistent Atrial Fibrillation – Characterization of the Arrhythmogenic Electrogram Patterns During Atrial Fibrillation and Sinus Rhythm.
In Scientific Reports, vol. 10(1) , pp. 9147, 2020
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D. Nairn, H. Lehrmann, B. Müller-Edenborn, S. Schuler, T. Arentz, O. Dössel, A. Jadidi, and A. Loewe.
Comparison of Unipolar and Bipolar Voltage Mapping for Localization of Left Atrial Arrhythmogenic Substrate in Patients With Atrial Fibrillation.
In Frontiers in Physiology, vol. 11, 2020
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H. Lehrmann, A. S. Jadidi, J. Minners, J. Chen, B. Müller-Edenborn, R. Weber, O. Dössel, T. Arentz, and A. Loewe.
Novel Electrocardiographic Criteria for Real-Time Assessment of Anterior Mitral Line Block.
In JACC: Clinical Electrophysiology, vol. 4(7) , pp. 920-932, 2018
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Conference Contributions (3)

D. Nairn, C. Nagel, B. Mueller-Edenborn, H. Lehrmann, A. Jadidi, and A. Loewe.
Spatial and quantitative assessment of the correlation between sinus rhythm and atrial fibrillation voltage mapping to identify low voltage substrate in persistent atrial fibrillation.
In EP Europace, vol. 23(Supplement_3) , 2021
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D. Nairn, C. Nagel, B. Müller-Edenborn, H. Lehrmann, T. Arentz, O. Dössel, and A. Jadidi.
Optimal Regional Voltage Thresholds for Identifying Ablation Targets in Patients with Atrial Fibrillation.
In Computing in Cardiology Conference (CinC), vol. 48, 2021
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H. Lehrmann, A. Jadidi, J. Minners, J. Chen, B. Müller-Edenborn, R. Weber, O. Dössel, T. Arentz, and A. Loewe.
Novel ECG-criteria For Real-time Assessment Of Anterior Mitral Line Block - “V1-jump” And “V1-delay”.
In Heart Rhythm, vol. 15(5S) , pp. S229, 2018
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