Automated positive end-expiratory pressure titration during mechanical ventilation
Von Platen P, Pomprapa A, Lohse A, Leonhardt S, Pickerodt PA, Russ M, Taher M, Boerger E, Francis RCE, Walter M (2021)
Publication Type: Conference contribution
Publication year: 2021
Journal
Publisher: Elsevier B.V.
Book Volume: 54
Pages Range: 412-417
Conference Proceedings Title: IFAC-PapersOnLine
Event location: Ghent
DOI: 10.1016/j.ifacol.2021.10.291
Abstract
Optimizing the positive end-expiratory pressure remains challenging for any clinician treating a patient with acute respiratory distress syndrome. This paper presents an approach to automate a PEEP titration maneuver and identify the best PEEP according to maximal compliance. The respiratory system was modeled by a single-compartment model, and parameters were estimated using multiple linear regression. A classifier identified the best PEEP using the scaled relative change in compliance between PEEP levels based on empirical data from previous manual PEEP titrations. An experimental system allows the in vivo testing of the automated PEEP titration, including additional safety measures. The complete system was tested in a single animal experiment and correctly identified the best PEEP. The introduced system is a step closer towards an automated, standardized PEEP optimization and closed-loop control of mechanical ventilation.
Authors with CRIS profile
Involved external institutions
Charité - Universitätsmedizin Berlin
Germany (DE)
Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen
Germany (DE)
Germany (DE)
Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen
Germany (DE)
How to cite
APA:
Von Platen, P., Pomprapa, A., Lohse, A., Leonhardt, S., Pickerodt, P.A., Russ, M.,... Walter, M. (2021). Automated positive end-expiratory pressure titration during mechanical ventilation. In IFAC-PapersOnLine (pp. 412-417). Ghent, BE: Elsevier B.V..
MLA:
Von Platen, Philip, et al. "Automated positive end-expiratory pressure titration during mechanical ventilation." Proceedings of the 11th IFAC Symposium on Biological and Medical Systems BMS 2021, Ghent Elsevier B.V., 2021. 412-417.
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