Model-based decision support for pressure support mechanical ventilation - Implementation of physiological and clinical preference models

Dan S. Karbing, Sebastian Larraza, Nilanjan Dey, Jakob B. Jensen, Robert Winding, Stephen E. Rees

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

The paper presents modifications of the INVENT decision support system for providing decision support in pressure support mechanical ventilation. Physiological models of interstitial fluid and tissue buffering and metabolism, cerebrospinal fluid acid-base status, and central and peripheral chemoreflex respiratory drive were integrated with existing models of the system and methods were implemented for learning effect of changes in pressure support on tidal volume, metabolism, anatomical dead space and muscle response. Preference models were implemented describing risk of muscle atrophy and stress in relation to pressure support level. The system was evaluated retrospectively in three patients responding differently to changes in pressure support. The system was able to describe patients' changes in tidal volume, respiratory rate and alveolar ventilation and adapt decision support appropriately when patient responses were different from that expected from measurements at baseline level.

Original languageEnglish
Pages (from-to)279-284
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number20
DOIs
Publication statusPublished - 1 Sep 2015
Externally publishedYes
Event9th IFAC Symposium on Biological and Medical Systems, BMS 2015 - Berlin, Germany
Duration: 31 Aug 20152 Sep 2015

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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