Frida Sandberg
Orcid: 0000-0002-1956-6333
According to our database1,
Frida Sandberg
authored at least 39 papers
between 2008 and 2023.
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Online presence:
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Bibliography
2023
Estimating Respiratory Modulation in Atrial Fibrillation Using a Convolutional Neural Network.
Proceedings of the Computing in Cardiology, 2023
ECG-based Assessment and Therapeutic Implications of AV Nodal Conduction Dynamics During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2023
Dependence of Atrial Fibrillatory Rate Variations Induced by Head-Up/Down Tilt-Test on Autonomic Action.
Proceedings of the Computing in Cardiology, 2023
2022
Proceedings of the Computing in Cardiology, 2022
Drug Dependent Circadian Variations in AV-nodal Properties During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022
Effects of Acetylcholine Release Spatial Distribution on the Frequency of Atrial Reentrant Circuits: a Computational Study.
Proceedings of the Computing in Cardiology, 2022
2021
Sensors, 2021
Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Changes in RR Series Characteristics During Atrial Fibrillation: An AV Node Simulation Study.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Non-Invasive Characterization of Atrio-Ventricular Properties During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Automatic Detection of Atrial Fibrillation Using Electrocardiomatrix and Convolutional Neural Network.
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
Relationship Between Atrial Oscillatory Acetylcholine Release Pattern and f-wave Frequency Modulation: a Computational and Experimental Study.
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
2018
Model-Based Assessment of f-Wave Signal Quality in Patients With Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2018
Medical Biol. Eng. Comput., 2018
2017
Proceedings of the Computing in Cardiology, 2017
Preliminary Results from Clinical Validation Study of a Method for Non-Invasive Assessment of Atrioventricular Node Refractoriness During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
2016
A Statistical Atrioventricular Node Model Accounting for Pathway Switching During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2016
2015
Extracting a Cardiac Signal From the Extracorporeal Pressure Sensors of a Hemodialysis Machine.
IEEE Trans. Biomed. Eng., 2015
Characterization of AV-nodal Properties during Atrial Fibrillation using a Multilevel Modelling Approach.
Proceedings of the Computing in Cardiology, 2015
Proceedings of the Computing in Cardiology, 2015
A Statistical Model of the Dual Pathway Atrioventricular Node during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015
2014
Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis.
Medical Biol. Eng. Comput., 2014
Estimation of Respiratory Information from the Built-In Pressure Sensors of a Dialysis Machine.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Non-invasive Evaluation of the Effect of Metoprolol on the Atrioventricular Node during Permanent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Atrioventricular nodal function during atrial fibrillation: Model building and robust estimation.
Biomed. Signal Process. Control., 2013
Statistical modeling of the atrioventricular node during atrial fibrillation: Data length and estimator performance.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Computing in Cardiology, 2013
Proceedings of the Computing in Cardiology, 2013
Proceedings of the Computing in Cardiology, 2013
Seven-day Analysis of Atrial Fibrillation and Circadian Rhythms.
Proceedings of the BIOSIGNALS 2013, 2013
Statistical Modeling of Atrioventricular Nodal Function During Atrial Fibrillation Focusing on the Refractory Period Estimation.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013
Statistical Modeling of Atrioventricular Nodal Function during Atrial Fibrillation - An Update.
Proceedings of the BIOSIGNALS 2013, 2013
2011
An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2011
Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings.
IEEE Trans. Biomed. Eng., 2011
2008
IEEE Trans. Biomed. Eng., 2008