Virtual patients for mechanical ventilation in the intensive care unit
Background Mechanical ventilation (MV) is a core intensive care unit (ICU) therapy.
Significant inter-and intra-patient variability in lung mechanics and condition makes …
Significant inter-and intra-patient variability in lung mechanics and condition makes …
Support vector machines for automated modelling of nonlinear structures using health monitoring results
Structural health monitoring (SHM) is backwards analysis of past to current state of damage,
but cannot create a structure-specific nonlinear model for forward analysis of future …
but cannot create a structure-specific nonlinear model for forward analysis of future …
Degradation evaluation of lateral story stiffness using HLA-based deep learning networks
Hysteresis loop analysis (HLA) has proven an effective indicator of damage detection in civil
engineering structural health monitoring (SHM). In this paper, the histogram of stiffness …
engineering structural health monitoring (SHM). In this paper, the histogram of stiffness …
Real-world application of hysteresis loop analysis for stiffness identification of an instrumented building across multiple seismic events
The BNZ building in Wellington, New Zealand was significantly damaged, and eventually
demolished, due to the cumulative impact of three main earthquakes between 2013 and …
demolished, due to the cumulative impact of three main earthquakes between 2013 and …
Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model
Background Patient-specific lung mechanics during mechanical ventilation (MV) can be
identified from measured waveforms of fully ventilated, sedated patients. However …
identified from measured waveforms of fully ventilated, sedated patients. However …
Structural performance and damage prediction using a novel digital cloning technique
M Rabiepour, C Zhou… - Structural Health …, 2023 - journals.sagepub.com
This paper presents a novel, mechanics-based framework to create digital twins for
earthquake-affected pinched structures, like reinforced concrete framed buildings. It uses …
earthquake-affected pinched structures, like reinforced concrete framed buildings. It uses …
A new pinched nonlinear hysteretic structural model for automated creation of digital clones in structural health monitoring
Optimizing risk treatment of structures in post-event decision-making is extremely difficult
due to the lack of information on building damage/status after an event, particularly for …
due to the lack of information on building damage/status after an event, particularly for …
[HTML][HTML] Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?
Background and objective Patient-ventilator asynchrony (PVA) is associated with poor
clinical outcomes and remains under-monitored. Automated PVA detection would enable …
clinical outcomes and remains under-monitored. Automated PVA detection would enable …
Damage inference and residual capacity assessment for an E-Defense 2018 ten-story RC test structure
This paper presents an enhanced vision-based, post-earthquake performance assessment
framework for RC building structures. This framework incorporates a damage inference …
framework for RC building structures. This framework incorporates a damage inference …
A spectral assessment for instant preliminary evaluation of structures after seismic events
This article introduces a simple, efficient spectral-based approach for rapid preliminary
seismic assessment of earthquake-affected structures. Performance is validated using data …
seismic assessment of earthquake-affected structures. Performance is validated using data …