Smart alarms towards optimizing patient ventilation in intensive care: the driving pressure case
Objective : Alarms are a substantial part of clinical practice, warning clinicians of patient
complications. In this paper, we focus on alarms in the intensive care unit and especially on the
use of machine learning techniques for the creation of alarms for the ventilator support of
patients. The aim is to study a method to enable timely interventions for intubated patients and
prevent complications induced by high driving pressure ( ΔP) and lung strain during mechanical
ventilation. Approach : The relation between the ΔP and the total set of the ventilator parameters
was examined and resulted in a predictive model with bimodal implementation for the short-term
prediction of the ΔP level (high/low). The proposed method includes two sub-models for the
prediction of future ΔP level based on the current level being high or low, named cH and cL,
respectively. Based on this method, for both sub-models, an alarm will be triggered when the
predicted ΔP level is considered t...
Source: Physiological Measurement - Category: Physiology Authors: Elisavet Koutsiana, Achilleas Chytas, Katerina Vaporidi and Ioanna Chouvarda Source Type: research
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