Piotr Podziemski
Orcid: 0000-0001-6951-0293
According to our database1,
Piotr Podziemski
authored at least 12 papers
between 2013 and 2019.
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Bibliography
2019
Kolmogorov Complexity of Coronary Sinus Atrial Electrograms before Ablation Predicts Termination of Atrial Fibrillation after Pulmonary Vein Isolation.
Entropy, 2019
2018
Stationary and Recurrent Properties of Atrial Fibrillation Conduction Patterns in Goat.
Proceedings of the Computing in Cardiology, 2018
2017
Identification of Rotors during Human Atrial Fibrillation Using Contact Mapping and Phase Singularity Detection: Technical Considerations.
IEEE Trans. Biomed. Eng., 2017
Spurious Rotor Detection During Atrial Fibrillation: Phase Singularities in Fact Reflect Blurred Conduction Block.
Proceedings of the Computing in Cardiology, 2017
2015
Far-field effect in unipolar electrograms revisited: High-density mapping of atrial fibrillation in humans.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Computing in Cardiology, 2015
Far-Field Effect in Unipolar Electrograms Recorded from Epicardial and Endocardial Surface: Quantification of Epi-Endo Dissociation During Atrial Fibrillation in Humans.
Proceedings of the Computing in Cardiology, 2015
Towards Application of Complexity Measures of Atrial Electrograms to Predict Outcome of the Ablation Procedure.
Proceedings of the Computing in Cardiology, 2015
Algorithm for Life-Threatening Arrhythmias Detection with Reduced False Alarms Ratio.
Proceedings of the Computing in Cardiology, 2015
2014
Analysis of Electrogram Complexity during Atrial Fibrillation for Ablation Duration Assessment.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Heart Rate Variability Discovery: Algorithm for Detection of Heart Rate from Noisy, Multimodal Recordings.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Fetal Heart Rate Discovery: Algorithm for Detection of Fetal Heart Rate from Noisy, Noninvasive Fetal ECG Recordings.
Proceedings of the Computing in Cardiology, 2013