VenTheSi – Ventilation Therapy Simulator
Intensive care ventilation therapy is characterized by a high degree of individuality. Adequate training in the handling of a variety of clinical scenarios is therefore indispensable. With the help of a novel, digital learning environment for medical training, teaching can be further developed in an individual and praxis-relevant way. The basis for this learning platform is formed by mathematical patient models, which allow the simulation of a wide range of patients and pathologies in complex clinical ventilation situations. The learning of live-saving therapy decisions is promoted by embedding the training app in a holistic teaching concept with automated evaluation.
For this purpose, a web application has been developed at the Institute for Electrical Engineering in Medicine, which extends existing mathematical patient models with a user interface to make virtual ventilation training accessible to medical professionals, students, and all interested stakeholders.
Project Partner
The implementation of the web application user interface was carried out by EXORD.
Publications
Proceedings
2023
A lung model considering age, sex and height: an in-silico study – gas exchange, 2023.
A lung model considering age, sex and height: an in-silico study – lung mechanics, 2023.
A simple mathematical lung model of Chronic Obstructive Pulmonary Disease (COPD), 2023.
2022
Mathematical lung model for local gas exchange based on EIT-measurements, Walter de Gruyter GmbH, 2022. pp. 376--379.
DOI: | 10.1515/cdbme-2022-1096 |
File: | cdbme-2022-1096 |
Bibtex: | @inproceedings{Hennigs2022, doi = {10.1515/cdbme-2022-1096}, url = {https://doi.org/10.1515/cdbme-2022-1096}, year = {2022}, month = {aug}, publisher = {Walter de Gruyter {GmbH}}, volume = {8}, number = {2}, pages = {376--379}, author = {Carlotta Hennigs and Tobias Becher and Philipp Rostalski}, title = {Mathematical lung model for local gas exchange based on {EIT}-measurements}, journal = {Current Directions in Biomedical Engineering} } |
2021
The effect of body mass index on pressure controlled ventilator settings, 2021.
Articles
2023
Model-based analysis and optimization of pressure-controlled ventilation of COPD patients in relation to BMI, 2023.
DOI: | 10.1515/auto-2022-0011 |
Bibtex: | @article{Hennigs_2022, doi = {10.1515/auto-2022-0011}, url = {https://doi.org/10.1515%2Fauto-2022-0011}, year = 2022, month = {nov}, publisher = {Walter de Gruyter {GmbH}}, volume = {70}, number = {11}, pages = {957-967}, author = {Carlotta Hennigs, Kai Brehmer, Tim Tristan Hardel and Philipp Rostalski}, title = {Model-based analysis and optimization of pressure-controlled ventilation of {COPD} patients in relation to {BMI}}, journal = {at - Automatisierungstechnik} } |
Members
Philipp Rostalski
Gebäude 19
philipp.rostalski(at)uni-luebeck.de
+49 451 3101 6200
Andra Oltmann
Gebäude 19
a.oltmann(at)uni-luebeck.de
+49 451 3101 6226
Carlotta Hennigs
Gebäude 19
carlotta.hennigs(at)uni-luebeck.de
+49 451 3101 6218
Franziska Bilda (née Schollemann)
Gebäude 19
franziska.bilda(at)uni-luebeck.de
+49 451 3101 6234