Skip to Main content Skip to Navigation
Conference papers

Ineffective Efforts in ICU Assisted Ventilation: Feature Extraction and Analysis Platform

Abstract : Intensive Care Unit (ICU) is a challenging environment, requiring continuous monitoring and treatment adaptations, raising the need for tools and platforms to support medical decisions. In this context, the focus of this work is in supporting clinicians in managing assisted ventilation intervention (AVI). In AVI the need for patient-ventilator coupling exists. Attention may be required in cases when patient’s effort doesn’t trigger the ventilator at all, and the assisted ventilation event is lost, i.e. when an ineffective effort (IE) event takes place. A high exposure to IEs has been related to adverse clinical outcomes. The purpose of this work is to create new features that complement the already existing IE index in terms of estimating the adverse effects of ventilation exposure. A series of tools varying from raw data handling to the creation of predictive models are created and implemented in a custom platform, utilizing open-source software.
Document type :
Conference papers
Complete list of metadata
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, July 6, 2017 - 1:55:18 PM
Last modification on : Tuesday, August 10, 2021 - 2:58:06 PM
Long-term archiving on: : Wednesday, January 24, 2018 - 3:09:40 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Achilleas Chytas, Katerina Vaporidi, Dimitris Babalis, Dimitris Georgopoulos, Nicos Maglaveras, et al.. Ineffective Efforts in ICU Assisted Ventilation: Feature Extraction and Analysis Platform. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. pp.642-650, ⟨10.1007/978-3-319-44944-9_57⟩. ⟨hal-01557617⟩



Record views


Files downloads