Abstract Background and Objective Model-based and personalised decision support
systems are emerging to guide mechanical ventilation (MV) treatment for respiratory failure …

Background and objective Respiratory mechanics of mechanically ventilated patients evolve
significantly with time, disease state and mechanical ventilation (MV) treatment. Existing …

This study presents a data-driven approach to identifying anomaly-sensitive parameters
through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies …

This paper presents a novel, mechanics-based framework to create digital twins for
earthquake-affected pinched structures, like reinforced concrete framed buildings. It uses …

Stochastic models have been used to predict dynamic intra-patient respiratory system
elastance (E rs) in mechanically ventilated (MV) patients. However, existing E rs stochastic …

Background Optimal setting of mechanical ventilators is critical for improving outcomes.
Accurate, predictive lung mechanics models are effective in optimizing MV settings, but only …

Background Patient–ventilator asynchrony is common during mechanical ventilation (MV) in
intensive care unit (ICU), leading to worse MV care outcome. Identification of asynchrony is …

Abstract Background and Objective Recruitment maneuvers with subsequent positive-end-
expiratory-pressure (PEEP) have proven effective in recruiting lung volume and preventing …

Background and objective Healthcare datasets are plagued by issues of data scarcity and
class imbalance. Clinically validated virtual patient (VP) models can provide accurate in …

Mechanical ventilation is considered to be an effective treatment in cardiopulmonary
resuscitation (CPR). Traditional ventilators are not suitable for prompt out-of-hospital first aid …