Automated detection of asynchrony in patient-ventilator interaction

Qestra Mulqueeny, Stephen J. Redmond, Didier Tassaux, Laurence Vignaux, Philippe Jolliet, Piero Ceriana, Stefano Nava, Klaus Schindhelm, Nigel H. Lovell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An automated classification algorithm for the detection of expiratory ineffective efforts in patient-ventilator interaction is developed and validated. Using this algorithm, 5624 breaths from 23 patients in a pulmonary ward were examined. The participants (N=23) underwent both conventional and non-invasive ventilation. Tracings of patient flow, pressure at the airway, and transdiaphragmatic pressure were manually labeled by an expert. Overall accuracy of 94.5% was achieved with sensitivity 58.7% and specificity 98.7%. The results demonstrate the viability of using pattern classification techniques to automatically detect the presence of asynchrony between a patient and their ventilator.

Original languageEnglish
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Pages5324-5327
Number of pages4
DOIs
Publication statusPublished - 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

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  • Cite this

    Mulqueeny, Q., Redmond, S. J., Tassaux, D., Vignaux, L., Jolliet, P., Ceriana, P., Nava, S., Schindhelm, K., & Lovell, N. H. (2009). Automated detection of asynchrony in patient-ventilator interaction. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 5324-5327). [5332684] https://doi.org/10.1109/IEMBS.2009.5332684