Automated detection and quantification of reverse triggering effort under mechanical ventilation

• Main Authors: Tài Pham, Jaume Montanya, Irene Telias, Thomas Piraino, Rudys Magrans, Rémi Coudroy, L. Felipe Damiani, Ricard Mellado Artigas, Matías Madorno, Lluis Blanch, Laurent Brochard, Cesar Santis, Tommaso Mauri, Elena Spinelli, Giacomo Grasselli, Savino Spadaro, Carlo Alberto Volta, Francesco Mojoli, Dimitris Georgopoulos, Eumorfia Kondili, Stella Soundoulounaki, Tobias Becher, Norbert Weiler, Dirk Schaedler, Oriol Roca, Manel Santafe, Jordi Mancebo, Leo Heunks, Heder de Vries, Chang Wen Chen, Jian Xin Zhou, Guang Qiang Chen, Nuttapol Rittayamai, Norberto Tiribelli, Sebastian Fredes, Carlos Ferrando Ortolá, François Beloncle, Alain Mercat, J. M. Arnal, J. L. Diehl, A. Demoule, M. Dres, S. Jochmans, J. Chelly, Nicolas Terzi, Claude Guérin, E. Baedorf Kassis, J. Beitler, Davide Chiumello, Erica Ferrari Luca Bolgiaghi, V. Fanelli, J. E. Alphonsine, Arnaud W. Thille, Laurent Papazian
• Other Authors: Institut d’Investigació i Innovació Parc Taulí (I3PT)
• Format: Article
• Published: 2022
• Subjects: Medicine
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/77628
• Institution: Mahidol University

Background: Reverse triggering (RT) is a dyssynchrony defined by a respiratory muscle contraction following a passive mechanical insufflation. It is potentially harmful for the lung and the diaphragm, but its detection is challenging. Magnitude of effort generated by RT is currently unknown. Our obj...