Digital twins and automation of care in the intensive care unit

J Geoffrey Chase, C Zhou, JL Knopp… - Cyber–Physical …, 2023 - Wiley Online Library
Healthcare is under increasing demand pressure as societies age and expectations rise,
multiplied by increasing incidence of chronic diseases and decreasing available funding …

Tele-monitoring system for intensive care ventilators in isolation rooms

SH Kim, HC Seo, S Choi, S Joo - Scientific Reports, 2023 - nature.com
The COVID-19 pandemic and discovery of new mutant strains have a devastating impact
worldwide. Patients with severe COVID-19 require various equipment, such as ventilators …

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 …

Stochastic modelling of respiratory system elastance for mechanically ventilated respiratory failure patients

JWW Lee, YS Chiew, X Wang, CP Tan… - Annals of Biomedical …, 2021 - Springer
While lung protective mechanical ventilation (MV) guidelines have been developed to avoid
ventilator-induced lung injury (VILI), a one-size-fits-all approach cannot benefit every …

Protocol conception for safe selection of mechanical ventilation settings for respiratory failure Patients

JWW Lee, YS Chiew, X Wang, CP Tan… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Mechanical ventilation is the primary form of care
provided to respiratory failure patients. Limited guidelines and conflicting results from major …

Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation

Q Pan, H Zhang, M Jiang, G Ning, L Fang… - Computers in Biology and …, 2023 - Elsevier
Background and objective Despite the numerous studies on extubation readiness
assessment for patients who are invasively ventilated in the intensive care unit, a 10–15 …

[HTML][HTML] Virtual patient with temporal evolution for mechanical ventilation trial studies: A stochastic model approach

CYS Ang, YS Chiew, X Wang, EH Ooi, MBM Nor… - Computer Methods and …, 2023 - Elsevier
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 …

Classification patient-ventilator asynchrony with dual-input convolutional neural network

TC Chong, NL Loo, YS Chiew, MB Mat-Nor… - IFAC-PapersOnLine, 2021 - Elsevier
Mechanical ventilated respiratory failure patients may experience asynchronous breathing
(AB). Frequent occurrence of AB may impose detrimental effect towards patient's condition …

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 …

[HTML][HTML] Exploring variable observational time windows for patient-ventilator asynchrony during mechanical ventilation treatment

CYS Ang, YS Chiew, X Wang, EH Ooi, MBM Nor… - IFAC Journal of Systems …, 2024 - Elsevier
Abstract Background and Objective: Patient-ventilator asynchrony (PVA) is prevalent in
mechanical ventilation (MV) for critically ill patients and has been associated with adverse …