Respiratory Monitoring & Control: Institute for Electrical Engineering in Medicine

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

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}
}

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}
}

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}
}

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})}
}

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},
}

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

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}
}

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

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

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.} 
}

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.}
}