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Eike Petersen
Eike Petersen
Fraunhofer Institute for Digital Medicine MEVIS
Email confirmado em mevis.fraunhofer.de - Página inicial
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A comprehensive mathematical model of motor unit pool organization, surface electromyography, and force generation
E Petersen, P Rostalski
Frontiers in physiology 10, 369176, 2019
392019
Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms
E Petersen, J Sauer, J Graßhoff, P Rostalski
IEEE Access 8, 30905-30917, 2020
252020
Feature robustness and sex differences in medical imaging: A case study in MRI-based Alzheimer’s disease detection
E Petersen, A Feragen, ML da Costa Zemsch, A Henriksen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
212022
Responsible and regulatory conform machine learning for medicine: A survey of challenges and solutions
E Petersen, Y Potdevin, E Mohammadi, S Zidowitz, S Breyer, D Nowotka, ...
IEEE Access 10, 58375-58418, 2022
172022
Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes
J Graßhoff, E Petersen, F Farquharson, M Kustermann, HJ Kabitz, ...
Critical Care 25 (1), 1-12, 2021
172021
A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signals
J Graßhoff, E Petersen, M Eger, G Bellani, P Rostalski
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
142017
The path toward equal performance in medical machine learning
E Petersen, S Holm, M Ganz, A Feragen
Patterns 4 (7), 2023
122023
Convolutive blind source separation of surface EMG measurements of the respiratory muscles
E Petersen, H Buchner, M Eger, P Rostalski
Biomedical Engineering/Biomedizinische Technik 62 (2), 171-181, 2017
102017
Convolutive blind source separation on surface EMG signals for respiratory diagnostics and medical ventilation control
H Buchner, E Petersen, M Eger, P Rostalski
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
102016
On (assessing) the fairness of risk score models
E Petersen, M Ganz, S Holm, A Feragen
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
92023
Surface EMG-based Estimation of Breathing Effort for Neurally Adjusted Ventilation Control
E Petersen, J Graßhoff, M Eger, P Rostalski
IFAC-PapersOnLine 53 (2), 16323-16328, 2020
72020
On Approximate Nonlinear Gaussian Message Passing on Factor Graphs
E Petersen, C Hoffmann, P Rostalski
2018 IEEE Statistical Signal Processing Workshop (SSP), 513-517, 2018
62018
Closed‐loop acoustic stimulation during an afternoon nap to modulate subsequent encoding
P Koo‐Poeggel, S Neuwerk, E Petersen, J Grasshoff, M Mölle, T Martinetz, ...
Journal of Sleep Research 31 (6), e13734, 2022
52022
Iterative Approximate Nonlinear Inference via Gaussian Message Passing on Factor Graphs
CH né Hoffmann, E Petersen, P Rostalski
IEEE Control Systems Letters 3 (4), 978-983, 2019
52019
Sparse Estimation for the Assessment of Muscular Activity based on sEMG Measurements
M Olbrich, E Petersen, C Hoffmann, P Rostalski
IFAC-PapersOnLine 51 (15), 305-310, 2018
52018
A Mathematical Model of Surface Electromyographic Measurements
E Petersen
Proceedings of the workshop Biosignal Processing, 2016
52016
Analysis and applications of respiratory surface EMG: report of a round table meeting
AH Jonkman, RSP Warnaar, W Baccinelli, NM Carbon, RF D’Cruz, ...
Critical Care 28 (1), 2, 2024
42024
Blind source separation of inspiration and expiration in respiratory sEMG signals
J Sauer, M Streppel, NM Carbon, E Petersen, P Rostalski
Physiological Measurement 43 (7), 075007, 2022
42022
Model-Based Estimation of Inspiratory Effort Using Surface EMG
J Graßhoff, E Petersen, S Walterspacher, P Rostalski
IEEE Transactions on Biomedical Engineering 70 (1), 247-258, 2022
42022
Are demographically invariant models and representations in medical imaging fair?
E Petersen, E Ferrante, M Ganz, A Feragen
arXiv preprint arXiv:2305.01397, 2023
32023
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