Follow
Frida Sandberg
Frida Sandberg
Dept. of Biomedical Engineering, Lund University
Verified email at bme.lth.se
Title
Cited by
Cited by
Year
Predicting spontaneous termination of atrial fibrillation using the surface ECG
F Nilsson, M Stridh, A Bollmann, L Sörnmo
Medical engineering & physics 28 (8), 802-808, 2006
1132006
Frequency tracking of atrial fibrillation using hidden Markov models
F Sandberg, M Stridh, L Sornmo
IEEE Transactions on Biomedical Engineering 55 (2), 502-511, 2008
872008
Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings
R Alcaraz, F Sandberg, L Sörnmo, JJ Rieta
IEEE Transactions on Biomedical Engineering 58 (5), 1441-1449, 2011
722011
An atrioventricular node model for analysis of the ventricular response during atrial fibrillation
VDA Corino, F Sandberg, LT Mainardi, L Sornmo
IEEE transactions on biomedical engineering 58 (12), 3386-3395, 2011
612011
Noninvasive techniques for prevention of intradialytic hypotension
L Sornmo, F Sandberg, E Gil, K Solem
IEEE reviews in biomedical engineering 5, 45-59, 2012
482012
ECG-derived respiratory rate in atrial fibrillation
S Kontaxis, J Lázaro, VDA Corino, F Sandberg, R Bailón, P Laguna, ...
IEEE Transactions on Biomedical Engineering 67 (3), 905-914, 2019
412019
Model-based assessment of f-wave signal quality in patients with atrial fibrillation
M Henriksson, A Petrėnas, V Marozas, F Sandberg, L Sörnmo
IEEE Transactions on Biomedical Engineering 65 (11), 2600-2611, 2018
342018
Prediction of hypotension in hemodialysis patients
F Sandberg, R Bailón, D Hernando, P Laguna, JP Martínez, K Solem, ...
Physiological measurement 35 (9), 1885, 2014
342014
Atrioventricular nodal function during atrial fibrillation: Model building and robust estimation
VDA Corino, F Sandberg, F Lombardi, LT Mainardi, L Sörnmo
Biomedical Signal Processing and Control 8 (6), 1017-1025, 2013
312013
Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation
F Sandberg, A Bollmann, D Husser, M Stridh, L Sörnmo
Physiological measurement 31 (4), 531, 2010
312010
Extracting a cardiac signal from the extracorporeal pressure sensors of a hemodialysis machine
M Holmer, F Sandberg, K Solem, E Grigonytė, B Olde, L Sörnmo
IEEE Transactions on Biomedical Engineering 62 (5), 1305-1315, 2014
292014
A statistical atrioventricular node model accounting for pathway switching during atrial fibrillation
M Henriksson, VDA Corino, L Sörnmo, F Sandberg
IEEE Transactions on Biomedical Engineering 63 (9), 1842-1849, 2015
192015
Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis
R Goya-Esteban, F Sandberg, Ó Barquero-Pérez, A García-Alberola, ...
Medical & biological engineering & computing 52, 1053-1060, 2014
172014
Predicting spontaneous termination of atrial fibrillation with time-frequency information
F Nilsson, M Stridh, A Bollmann, L Sornmo
Computers in Cardiology, 2004, 657-660, 2004
172004
Non-invasive assessment of the effect of beta blockers and calcium channel blockers on the AV node during permanent atrial fibrillation
F Sandberg, VDA Corino, LT Mainardi, SR Ulimoen, S Enger, A Tveit, ...
Journal of Electrocardiology 48 (5), 861-866, 2015
162015
Characterisation of human AV-nodal properties using a network model
M Wallman, F Sandberg
Medical & Biological Engineering & Computing 56 (2), 247-259, 2018
152018
Prediction of intradialytic hypotension using PPG and ECG
F Sandberg, R Bailon, D Hernando, P Laguna, JP Martinez, K Solem, ...
Computing in Cardiology 2013, 1227-1230, 2013
142013
Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation
R Alcaraz, F Sandberg, L Sörnmo, JJ Rieta
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
142010
Detection of brief episodes of atrial fibrillation based on electrocardiomatrix and convolutional neural network
R Salinas-Martinez, J De Bie, N Marzocchi, F Sandberg
Frontiers in physiology 12, 673819, 2021
132021
Detection of ventricular premature beats based on the pressure signals of a hemodialysis machine
M Holmer, JP Martínez, E Gil, F Sandberg, B Olde, L Sörnmo
Medical Engineering & Physics 51, 49-55, 2018
102018
The system can't perform the operation now. Try again later.
Articles 1–20