Towards a digital twin based monitoring tool for ventilated patients
Hennigs C, Sauer J, Bigalke A, Hardel T, Carbon N, Rostalski P (2024)
Publication Type: Conference contribution
Publication year: 2024
Journal
Publisher: Elsevier B.V.
Book Volume: 58
Pages Range: 43-48
Conference Proceedings Title: IFAC-PapersOnLine
Event location: Villingen-Schwenningen, DEU
DOI: 10.1016/j.ifacol.2024.11.009
Abstract
The complexity of processing and understanding the number of monitoring data available in the ICU is very demanding. The aim of this work is a model based sensor fusion approach for ventilated patients incorporating novel monitoring modalities such as surface electromyography and electrical impedance tomography. The data from various sensors are preprocessed and fused to estimate physiological parameters. As a result, a graphical user interface is developed to present the processed data generating an overview of the past and current patients' status to the clinical user in a compact form. In conclusion, the proposed concept and demonstrator of a monitoring tool provide a first approach to collect, fuse, and visualize various measurements of ventilated patients and form the basis for a medical digital twin for respiratory therapy.
Involved external institutions
Universität zu Lübeck
Germany (DE)
Charité - Universitätsmedizin Berlin
Germany (DE)
Universitätsklinikum Hamburg-Eppendorf (UKE)
Germany (DE)
Germany (DE)
Charité - Universitätsmedizin Berlin
Germany (DE)
Universitätsklinikum Hamburg-Eppendorf (UKE)
Germany (DE)
How to cite
APA:
Hennigs, C., Sauer, J., Bigalke, A., Hardel, T., Carbon, N., & Rostalski, P. (2024). Towards a digital twin based monitoring tool for ventilated patients. In Balazs Benyo (Eds.), IFAC-PapersOnLine (pp. 43-48). Villingen-Schwenningen, DEU: Elsevier B.V..
MLA:
Hennigs, Carlotta, et al. "Towards a digital twin based monitoring tool for ventilated patients." Proceedings of the 12th IFAC Symposium on Biological and Medical Systems, BMS 2024, Villingen-Schwenningen, DEU Ed. Balazs Benyo, Elsevier B.V., 2024. 43-48.
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