Piotr Podziemski

Orcid: 0000-0001-6951-0293

According to our database1, Piotr Podziemski authored at least 12 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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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

Electrogram Coupling as a Measure of Local Conduction during Atrial Fibrillation.
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


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