Multiplying flow and pressure: detecting respiratory phases in intra-arrest ventilation

We propose an algorithm to detect respiratory phases and their exact onsets robust to chest compressions, which exhibits excellent results on a validation dataset. The concept incorporates the inherent relationship of airflow and airway pressure to differentiate between airflow due to artificial ventilations and airflow due to chest compressions.

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Publication Details

Journal
Resuscitation
Published
2026-03-14
DOI
https://doi.org/10.1016/j.resuscitation.2026.111050
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiplying flow and pressure: detecting respiratory phases in intra-arrest ventilation

Jan‐Thorsten Gräsner, Wolfgang J. Kern, Gabriel Putzer, Judith Martini et al.
Resuscitation
Respiratory Support and Mechanisms
article

Multiplying flow and pressure: detecting respiratory phases in intra-arrest ventilation

Jan‐Thorsten Gräsner, Wolfgang J. Kern, Gabriel Putzer, Judith Martini, Jan Wnent, Simon Orlob, Max Grobbel, Michael Furtmüller, David Purkarthofer, Johannes Wittig, Benjamin Hackl, Martin Holler
article en

Abstract

We propose an algorithm to detect respiratory phases and their exact onsets robust to chest compressions, which exhibits excellent results on a validation dataset. The concept incorporates the inherent relationship of airflow and airway pressure to differentiate between airflow due to artificial ventilations and airflow due to chest compressions.

ResuscitationVol. 222
FH JOANNEUM University of Applied Sciences (AT), FZI Research Center for Information Technology (DE), Innsbruck Medical University (AT), University of Graz (AT), Medical University of Graz (AT), Aarhus University Hospital (DK), Graz University of Technology (AT), Deutsches Herzzentrum der Charité (DE), University Hospital Schleswig-Holstein (DE), BioTechMed-Graz (AT), University of Lübeck (DE)
Karl-Franzens-Universität Graz, Medizinische Universität Graz
Openalex Percentile: Top 23%
Respiratory Support and Mechanisms
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