An automated and standardized neural index to quantify patient-ventilator interaction-Reference-Cited by-同舟云学术

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An automated and standardized neural index to quantify patient-ventilator interaction

Published:2013 Issue:5 Volume:17 Page:R239
ISSN:1364-8535
Container-title:Critical Care
language:en
Short-container-title:Critical Care

Author:

Sinderby Christer,Liu Songqiao,Colombo Davide,Camarotta Gianmaria,Slutsky Arthur S,Navalesi Paolo,Beck Jennifer

Publisher

Springer Science and Business Media LLC

Subject

Critical Care and Intensive Care Medicine

Reference14 articles.

1. Patient-ventilator asynchrony during assisted mechanical ventilation

2. Ineffective triggering predicts increased duration of mechanical ventilation*

3. Observational study of patient-ventilator asynchrony and relationship to sedation level

4. Efficacy of ventilator waveforms observation in detecting patient–ventilator asynchrony*

5. Assessment of Neural Inspiratory Time in Ventilator-supported Patients

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4. Application of a cloud platform that identifies patient-ventilator asynchrony and enables continuous monitoring of mechanical ventilation in intensive care unit;Heliyon;2024-07

5. Uncertainty-aware non-invasive patient–ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction;International Journal of Data Science and Analytics;2024-05-17

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