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Yeong Shiong Chiew

University of Canterbury
Monash University Malaysia Campus
Monash University

134

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1085

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Quantification of respiratory effort magnitude in spontaneous breathing patients using Convolutional Autoencoders.

2022 Comput. Methods Programs Biomed.
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Protocol conception for safe selection of mechanical ventilation settings for respiratory failure Patients.

2022 Comput. Methods Programs Biomed.
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Modelling Patient’s Spontaneous Effort During Controlled Mechanical Ventilation Using Basis Functions

2021
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Digital Twins in Critical Care: What, When, How, Where, Why?

2021 IFAC-PapersOnLine
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Stochastic Modelling of Respiratory System Elastance for Mechanically Ventilated Respiratory Failure Patients

2021 Annals of Biomedical Engineering
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A machine learning approach to assess magnitude of asynchrony breathing

2021 Biomedical Signal Processing and Control
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Network Data Acquisition and Monitoring System for Intensive Care Mechanical Ventilation Treatment

2021 IEEE Access
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Identification of Asynchronous Effect via Pressure-Volume Loop Reconstruction in Mechanically Ventilated Breathing Waveforms

2021 IFAC-PapersOnLine
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Model-based Patient Matching for in-parallel Multiplexing Mechanical Ventilation Support

2021 IFAC-PapersOnLine
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Classification Patient-Ventilator Asynchrony with Dual-Input Convolutional Neural Network

2021 IFAC-PapersOnLine
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