Respiratory Monitoring & Control
Modeling, monitoring and control of respiratory support
Breathing is a process most of us take for granted, and its failure is a medical emergency. Providing personalized respiratory support is a huge challenge: Every patient has different metabolic needs, different respiratory anatomy and physiology, and a different natural breathing rhythm. Studies have shown that many patients are not ventilated in a way that supports their natural respiratory rhythm, potentially leading to grave consequences ranging from patient trauma due to a loss of autonomy over one’s own respiration over severe lung injury to death.
Our vision is a mechanical ventilator that…
- Monitors a patient’s own respiratory activity during mechanical ventilation,
- Identifies a model of the patient’s respiratory system, and
- Uses this information to optimally align ventilator support with the patient’s needs by using advanced control techniques.
More specifically, we…
- Apply advanced signal processing techniques to measurement modalities such as camera signals, respiratory surface EMG measurements and esophageal pressure measurements to obtain reliable measurements of respiratory activity.
- Model all aspects of the respiratory system, including respiratory mechanics and lung properties, gas exchange, and respiratory control mechanisms.
- Use modern control techniques such as model-predictive control (MPC) to design advanced ventilator control schemes based on these models and measurements.
Key Publications
2020
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Petersen, Eike and Graßhoff, Jan and Eger, Marcus and Rostalski, Philipp: Surface EMG-based Estimation of Breathing Effort for Neurally Adjusted Ventilation Control. in Proceedings of the 21st IFAC World Congress, 2020
@inproceedings{PeGrEgRo20, author = {Petersen, Eike and Graßhoff, Jan and Eger, Marcus and Rostalski, Philipp}, booktitle = {{Proceedings of the 21st IFAC World Congress}}, title = {Surface {EMG}-based Estimation of Breathing Effort for Neurally Adjusted Ventilation Control}, year = {2020} }
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Jan Graßhoff and Philipp Rostalski: Spatio-Temporal Gaussian Processes for Separation of Ventilation and Perfusion Related Signals in EIT Data. in Proc. Workshop Automed, 2020
@inproceedings{GrRo20, author = {Jan Graßhoff and Philipp Rostalski}, title = {Spatio-Temporal Gaussian Processes for Separation of Ventilation and Perfusion Related Signals in EIT Data}, year = {2020}, booktitle = {Proc. Workshop Automed} }
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Graßhoff, Jan and Jankowski, Alexandra and Rostalski, Philipp: Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase. in Proceedings of the 37th International Conference on International Conference on Machine Learning (ICML), 2020
@inproceedings{GrJaRo20, author = {Graßhoff, Jan and Jankowski, Alexandra and Rostalski, Philipp}, title = {Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase}, booktitle = {Proceedings of the 37th International Conference on International Conference on Machine Learning (ICML)}, year = {2020} }
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Petersen, Eike and Sauer, Julia and Graßhoff, Jan and Rostalski, Philipp: Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms. IEEE Access, no. 8, pp. 30905-30917, Institute of Electrical and Electronics Engineers (IEEE), 2020
@Article{PeSaGrRo20, author = {Petersen, Eike and Sauer, Julia and Graßhoff, Jan and Rostalski, Philipp}, title = {Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms}, journal = {{IEEE} Access}, year = {2020}, volume = {8}, pages = {30905--30917}, doi = {10.1109/access.2020.2972731}, groups = {ECG Removal from EMG recordings}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})} }
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Hermann, Juliane and Brehmer, Kai and Mahfoud, Felix and Speer, Timotheus and Schunk, Stefan J. and Tscherning, Thomas and Thiele, Herbert and Jankowski, Joachim: Registration of Image Modalities for Analyses of Tissue Samples using 3D Image Modelling. PROTEOMICS - Clinical Applications, Wiley, 2020
@article{HeBr20, title={Registration of Image Modalities for Analyses of Tissue Samples using 3D Image Modelling}, author={Hermann, Juliane and Brehmer, Kai and Mahfoud, Felix and Speer, Timotheus and Schunk, Stefan J. and Tscherning, Thomas and Thiele, Herbert and Jankowski, Joachim}, journal={PROTEOMICS -- Clinical Applications}, year={2020}, publisher={Wiley}, }
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Abbas, Hossam S. and Graßhoff, Jan and Rostalski, P. and Brinkmann, R.: On the Estimation of Optoacoustic Waves in Retinal Laser Therapy Using Gaussian Processes. in Proc. Workshop Automed, Lübeck, Germany, March, 2020
@INPROCEEDINGS{AbGrRoBr20, author={Abbas, Hossam S. and Graßhoff, Jan and Rostalski, P. and Brinkmann, R.}, booktitle={Proc. Workshop Automed}, title={{On the Estimation of Optoacoustic Waves in Retinal Laser Therapy Using Gaussian Processes}}, year={2020}, pages={}, address={Lübeck, Germany}, month={March} }
2019
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Niclas Bockelmann and Jan Graßhoff and Lasse Hansen and Mattias Heinrich and Philipp Rostalski: Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram. in Directions in Biomedical Engineering, no. 5, pp. 17-20, De Gruyter, 2019
@inproceedings{BoGrHaHeRo19, author = {Niclas Bockelmann and Jan Graßhoff and Lasse Hansen and Mattias Heinrich and Philipp Rostalski}, title = {Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram}, booktitle = {Directions in Biomedical Engineering}, year = {2019}, publisher = {De Gruyter}, pages = {17--20}, volume = {5}, number = {1} }
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J. Graßhoff and E. Petersen and T. Becher and P. Rostalski: Automatic Estimation of Respiratory Effort using Esophageal Pressure. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4646-4649, July, 2019
@inproceedings{GrPeBeRo19, author={J. {Graßhoff} and E. {Petersen} and T. {Becher} and P. {Rostalski}}, booktitle={2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}, title={Automatic Estimation of Respiratory Effort using Esophageal Pressure}, year={2019}, pages={4646-4649}, doi={10.1109/EMBC.2019.8856345}, ISSN={1557-170X}, month={July}}
2018
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Olbrich, Michael and Petersen, Eike and Hoffmann, Christian and Rostalski, Philipp: Sparse Estimation for the Assessment of Muscular Activity based on sEMG Measurements. in Proc. 18th Symp. Syst. Ident., 2018
@inproceedings{OlPeHoRo18, author = {Olbrich, Michael and Petersen, Eike and Hoffmann, Christian and Rostalski, Philipp}, abstract = {}, title = {{Sparse Estimation for the Assessment of Muscular Activity based on sEMG Measurements}}, year = {2018}, booktitle = {Proc. 18th Symp. Syst. Ident.} }
2017
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Petersen, Eike and Buchner, Herbert and Eger, Marcus and Rostalski, Philipp: Convolutive blind source separation of surface EMG measurements of the respiratory muscles. Biomed. Tech., no. 62, pp. 171-181, 2017
@article{PeBuEgRo17, author = {Petersen, Eike and Buchner, Herbert and Eger, Marcus and Rostalski, Philipp}, year = {2017}, title = {{Convolutive blind source separation of surface EMG measurements of the respiratory muscles}}, pages = {171--181}, volume = {62}, number = {2}, journal = {Biomed. Tech.} }
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Graßhoff, Jan and Petersen, Eike and Eger, Marcus and Bellani, Giacomo and Rostalski, Philipp: A Template Subtraction Method for the Removal of Cardiogenic Oscillations on Esophageal Pressure Signals. in Proc. 39th Ann. Int. Conf. Eng. Med. Biol. Soc., 2017
@inproceedings{GrPeEgBe17, author = {Graßhoff, Jan and Petersen, Eike and Eger, Marcus and Bellani, Giacomo and Rostalski, Philipp}, title = {{A Template Subtraction Method for the Removal of Cardiogenic Oscillations on Esophageal Pressure Signals}}, year = {2017}, booktitle = {Proc. 39th Ann. Int. Conf. Eng. Med. Biol. Soc.} }
Members

Philipp Rostalski
Geb. 19,
+49 451 3101 6200
philipp.rostalski(at)uni-luebeck.de

Jan Graßhoff
Geb. 19,
+49 451 3101 6216
j.grasshoff(at)uni-luebeck.de

Georg Männel
Geb. 19,
+49 451 3101 6214
ge.maennel(at)uni-luebeck.de

Sandra Henn
Geb. 19,
+49 451 3101 6225
s.henn(at)uni-luebeck.de

Julia Sauer
Geb. 19,
+49 451 3101 6217
j.sauer(at)uni-luebeck.de

Carlotta Hennigs
Geb. 19,
+49 451 3101 6218
carlotta.hennigs(at)uni-luebeck.de