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Rudys Magrans

Showing results (11-20 of 30) with videos related to

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Journal of Critical Care|February 8, 2020
Predictors of asynchronies during assisted ventilation and its impact on clinical outcomes: The EPISYNC cohort studyMayson Laércio de Araújo Sousa, Rudys Magrans, Fátima K Hayashi, et al.
Critical Care Medicine|April 22, 2021
Clusters of Double Triggering Impact Clinical Outcomes: Insights From the EPIdemiology of Patient-Ventilator aSYNChrony (EPISYNC) Cohort StudyMayson Laérciod E Araújo Sousa, Rudys Magrans, Fátima K Hayashi, et al.
Sensors (Basel, Switzerland)|April 21, 2017
Chemical Source Localization Fusing Concentration Information in the Presence of Chemical Background NoiseVíctor Pomareda, Rudys Magrans, Juan M Jiménez-Soto, et al.
Journal of Critical Care|July 22, 2020
Response to the letter: Esophageal pressure and potential confounders for evaluating patient-ventilator asynchronyMayson Laércio de Araújo Sousa, Rudys Magrans, Fátima K Hayashi, et al.
Intensive Care Medicine Experimental|July 27, 2019
Patient-ventilator asynchronies during mechanical ventilation: current knowledge and research prioritiesCandelaria de Haro, Ana Ochagavia, Josefina López-Aguilar, et al.
ERJ Open Research|November 5, 2025
Prevalence and consequences of patient-ventilator interactions in a cohort of home-ventilated restrictive and neuromuscular patients: a multicentre studyCristina Lalmolda, Xavier Pomares, Sergi Martí, et al.
Critical Care (London, England)|February 16, 2021
Automated detection and quantification of reverse triggering effort under mechanical ventilationTài Pham, Jaume Montanya, Irene Telias, et al.
Scientific Reports|December 6, 2018
Predicting Patient-ventilator Asynchronies with Hidden Markov ModelsYaroslav Marchuk, Rudys Magrans, Bernat Sales, et al.
Scientific Reports|August 19, 2020
Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilationLeonardo Sarlabous, José Aquino-Esperanza, Rudys Magrans, et al.
Scientific Reports|November 10, 2020
Publisher Correction: Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilationLeonardo Sarlabous, José Aquino-Esperanza, Rudys Magrans, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Journal of Critical Care|February 8, 2020
Predictors of asynchronies during assisted ventilation and its impact on clinical outcomes: The EPISYNC cohort studyMayson Laércio de Araújo Sousa, Rudys Magrans, Fátima K Hayashi, et al.
Critical Care Medicine|April 22, 2021
Clusters of Double Triggering Impact Clinical Outcomes: Insights From the EPIdemiology of Patient-Ventilator aSYNChrony (EPISYNC) Cohort StudyMayson Laérciod E Araújo Sousa, Rudys Magrans, Fátima K Hayashi, et al.
Sensors (Basel, Switzerland)|April 21, 2017
Chemical Source Localization Fusing Concentration Information in the Presence of Chemical Background NoiseVíctor Pomareda, Rudys Magrans, Juan M Jiménez-Soto, et al.
Journal of Critical Care|July 22, 2020
Response to the letter: Esophageal pressure and potential confounders for evaluating patient-ventilator asynchronyMayson Laércio de Araújo Sousa, Rudys Magrans, Fátima K Hayashi, et al.
Intensive Care Medicine Experimental|July 27, 2019
Patient-ventilator asynchronies during mechanical ventilation: current knowledge and research prioritiesCandelaria de Haro, Ana Ochagavia, Josefina López-Aguilar, et al.
ERJ Open Research|November 5, 2025
Prevalence and consequences of patient-ventilator interactions in a cohort of home-ventilated restrictive and neuromuscular patients: a multicentre studyCristina Lalmolda, Xavier Pomares, Sergi Martí, et al.
Critical Care (London, England)|February 16, 2021
Automated detection and quantification of reverse triggering effort under mechanical ventilationTài Pham, Jaume Montanya, Irene Telias, et al.
Scientific Reports|December 6, 2018
Predicting Patient-ventilator Asynchronies with Hidden Markov ModelsYaroslav Marchuk, Rudys Magrans, Bernat Sales, et al.
Scientific Reports|August 19, 2020
Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilationLeonardo Sarlabous, José Aquino-Esperanza, Rudys Magrans, et al.
Scientific Reports|November 10, 2020
Publisher Correction: Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilationLeonardo Sarlabous, José Aquino-Esperanza, Rudys Magrans, et al.
Pageof 3