Proceedings on Automation in Medical Engineering
Vol. 3 No. 1 (2026): Proc AUTOMED
https://doi.org/10.18416/AUTOMED.2026.2524

18th Interdisciplinary AUTOMED Symposium in Collaboration with the TC Medical Robotics, 2524

Estimating respiratory effort: a systematic model analysis

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Charlotte Globig (Fraunhofer Research Institution for Individualized Medical Technology and Engineering IMTE), Tjorben Lerg (Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering), Philipp Rostalski (1) Fraunhofer IMTE, Fraunhofer Research Institution for Individualized Medical Engineering, Lübeck, Germany; 2) Institute for Electrical Engineering in Medicine, University of Lübeck, Lübeck, Germany), Jan Graßhoff (Fraunhofer Research Institution for Individualized Medical Technology and Engineering IMTE)

Abstract

Assessment of respiratory effort is essential during mechanical ventilation, especially in patients suffering from acute respiratory distress syndrome (ARDS). Surface electromyography (sEMG) provides a non-invasive, model-based approach for continuously monitoring inspiratory effort. However, the optimal model for the widespread, but challenging case of ARDS patients remains unclear. Hence, we evaluated models of varying complexity combining pneumatic and sEMG measurements for 16 patients. The complex models best describing our data do not improve estimation results with a simpler model reaching similar performance, likely due to increasing susceptibility to multicollinearity for increasing model complexity.

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