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Eike Petersen

Showing results (1-10 of 12) with videos related to

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Frontiers in Physiology|March 26, 2019
A Comprehensive Mathematical Model of Motor Unit Pool Organization, Surface Electromyography, and Force GenerationEike Petersen, Philipp Rostalski
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Convolutive blind source separation on surface EMG signals for respiratory diagnostics and medical ventilation controlHerbert Buchner, Eike Petersen, Marcus Eger, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automatic Estimation of Respiratory Effort using Esophageal PressureJan Grashoff, Eike Petersen, Tobias Becher, et al.
Biomedizinische Technik. Biomedical Engineering|January 12, 2017
Convolutive blind source separation of surface EMG measurements of the respiratory musclesEike Petersen, Herbert Buchner, Marcus Eger, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 30, 2023
Bias in context: What to do when complete bias removal is not an optionSune Holm, Eike Petersen, Melanie Ganz, et al.
IEEE Transactions on Bio-Medical Engineering|July 5, 2022
Model-Based Estimation of Inspiratory Effort Using Surface EMGJan Grashoff, Eike Petersen, Stephan Walterspacher, et al.
Patterns (New York, N.Y.)|July 31, 2023
The path toward equal performance in medical machine learningEike Petersen, Sune Holm, Melanie Ganz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signalsJan Grasshoff, Eike Petersen, Marcus Eger, et al.
Physiological Measurement|June 16, 2022
Blind source separation of inspiration and expiration in respiratory sEMG signalsJulia Sauer, Merle Streppel, Niklas M Carbon, et al.
Critical Care (London, England)|December 21, 2021
Surface EMG-based quantification of inspiratory effort: a quantitative comparison with P<sub>es</sub>Jan Graßhoff, Eike Petersen, Franziska Farquharson, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Physiology|March 26, 2019
A Comprehensive Mathematical Model of Motor Unit Pool Organization, Surface Electromyography, and Force GenerationEike Petersen, Philipp Rostalski
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Convolutive blind source separation on surface EMG signals for respiratory diagnostics and medical ventilation controlHerbert Buchner, Eike Petersen, Marcus Eger, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automatic Estimation of Respiratory Effort using Esophageal PressureJan Grashoff, Eike Petersen, Tobias Becher, et al.
Biomedizinische Technik. Biomedical Engineering|January 12, 2017
Convolutive blind source separation of surface EMG measurements of the respiratory musclesEike Petersen, Herbert Buchner, Marcus Eger, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 30, 2023
Bias in context: What to do when complete bias removal is not an optionSune Holm, Eike Petersen, Melanie Ganz, et al.
IEEE Transactions on Bio-Medical Engineering|July 5, 2022
Model-Based Estimation of Inspiratory Effort Using Surface EMGJan Grashoff, Eike Petersen, Stephan Walterspacher, et al.
Patterns (New York, N.Y.)|July 31, 2023
The path toward equal performance in medical machine learningEike Petersen, Sune Holm, Melanie Ganz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signalsJan Grasshoff, Eike Petersen, Marcus Eger, et al.
Physiological Measurement|June 16, 2022
Blind source separation of inspiration and expiration in respiratory sEMG signalsJulia Sauer, Merle Streppel, Niklas M Carbon, et al.
Critical Care (London, England)|December 21, 2021
Surface EMG-based quantification of inspiratory effort: a quantitative comparison with P<sub>es</sub>Jan Graßhoff, Eike Petersen, Franziska Farquharson, et al.
Pageof 2