Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness

RSP Warnaar, MP Mulder, L Fresiello, AD Cornet… - Critical Care, 2023 - Springer
Background Individualised optimisation of mechanical ventilation (MV) remains
cumbersome in modern intensive care medicine. Computerised, model-based support …

Predicting mechanically ventilated patients future respiratory system elastance–A stochastic modelling approach

CYS Ang, YS Chiew, X Wang, MBM Nor… - Computers in Biology …, 2022 - Elsevier
Background and objective Respiratory mechanics of mechanically ventilated patients evolve
significantly with time, disease state and mechanical ventilation (MV) treatment. Existing …

Low-cost structured light imaging of regional volume changes for use in assessing mechanical ventilation

C Zhou, JG Chase - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Background Optimal setting of mechanical ventilators is critical for improving outcomes.
Accurate, predictive lung mechanics models are effective in optimizing MV settings, but only …

[HTML][HTML] Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?

CYS Ang, YS Chiew, X Wang, EH Ooi, ME Cove… - Computer Methods and …, 2024 - Elsevier
Background and objective Patient-ventilator asynchrony (PVA) is associated with poor
clinical outcomes and remains under-monitored. Automated PVA detection would enable …

[HTML][HTML] A model-based quantification of nonlinear expiratory resistance in Plethysmographic data of COPD patients

T Lerios, JL Knopp, C Zilianti, M Pecchiari… - Computer Methods and …, 2025 - Elsevier
Background Chronic obstructive pulmonary disease (COPD) is characterised by airway
obstruction with an increase in airway resistance (R) to airflow in the lungs. An extreme case …

Model-based analysis of respiratory mechanics and parameters in critically ill mechanically ventilated patients

CYS Ang, YS Chiew, X Wang… - 2022 IEEE-EMBS …, 2022 - ieeexplore.ieee.org
Mechanical ventilation (MV) parameters and other physiological parameters determined
from mechanically ventilated respiratory failure patients can be used to estimate patient …

Multi-level digital-twin models of pulmonary mechanics: correlation analysis of 3D CT lung volume and 2D Chest motion

C Zhou, JG Chase, Y Chen - Biomedical Physics & Engineering …, 2024 - iopscience.iop.org
Creating multi-level digital-twin models for mechanical ventilation requires a detailed
estimation of regional lung volume. An accurate generic map between 2D chest surface …

Estimating patient spontaneous breathing effort in mechanical ventilation using a b-splines function approach

Q Sun, JG Chase, C Zhou, MH Tawhai… - IFAC Journal of Systems …, 2024 - Elsevier
Background: Patient work of breathing is a key clinical metric strongly to guide patient care
and weaning from mechanical ventilation (MV). Measurement requires added equipment …

Ubiquity of models describing inspiratory effort dynamics in patients on pressure support ventilation

JL Knopp, YS Chiew, D Georgopoulos… - IFAC Journal of Systems …, 2024 - Elsevier
Mechanical Ventilation (MV) is an important therapy in the intensive care unit (ICU). Assisted
spontaneous breathing (ASB) MV modes are a key and growing part of MV care, as they …

Identifying low-dimensional trajectories of mechanically-ventilated patient systems: Empirical phenotypes of joint patient+ care processes to enhance temporal …

JN Stroh, PD Sottile, Y Wang, BJ Smith, TD Bennett… - medRxiv, 2024 - pmc.ncbi.nlm.nih.gov
Refined management of mechanically ventilation is an obvious target for improving patient
outcomes, but is impeded by the nature of data for study and hypothesis generation. The …