Now showing items 1-3 of 3

    • Automatic detection of ventilatory modes during invasive mechanical ventilation 

      Murias, Gastón; Montanyà, Jaume; Chacón, Encarna; Estruga, Anna; Subirà Cuyàs, Carles; Fernández Fernández, Rafael; Sales, Bernat; De Haro, Candelaria; López-Aguilar, Josefina; Lucangelo, Umberto; Villar, Jesús; Kacmarek, Robert M.; Blanch, Lluís (Critical Care, 2016-08-14)
      Background: Expert systems can help alleviate problems related to the shortage of human resources in critical care, offering expert advice in complex situations. Expert systems use contextual information ...
    • Effects of sedatives and opioids on trigger and cycling asynchronies throughout mechanical ventilation: an observational study in a large dataset from critically ill patients 

      De Haro, Candelaria; Magrans, Rudys; López-Aguilar, Josefina; Montanyà, Jaume; Lena, Enrico; Subirà Cuyàs, Carles; Fernandez-Gonzalo, Sol; Gomà Fernández, Gemma; Fernández Fernández, Rafael; Albaiceta, Guillermo M.; Skrobik, Yoanna; Lucangelo, Umberto; Murias, Gastón; Ochagavia, Ana; Kacmarek, Robert M.; Rué, Montserrat; Blanch, Lluís; Asynchronies in the Intensive Care Unit (ASYNICU) Group (Critical Care, 2019-07-05)
      Background: In critically ill patients, poor patient-ventilator interaction may worsen outcomes. Although sedatives are often administered to improve comfort and facilitate ventilation, they can be ...
    • Predicting patient-ventilator asynchronies with hidden markov models 

      Marchuk, Yaroslav; Magrans, Rudys; Sales, Bernat; Montanyà, Jaume; López-Aguilar, Josefina; De Haro, Candelaria; Gomà Fernández, Gemma; Subirà Cuyàs, Carles; Fernández Fernández, Rafael; Kacmarek, Robert M.; Blanch, Lluís (Scientific Reports, 2018-12-04)
      In mechanical ventilation, it is paramount to ensure the patient’s ventilatory demand is met while minimizing asynchronies. We aimed to develop a model to predict the likelihood of asynchronies occurring. ...