A hybrid of a mathematical ventilator model and GANs generates synthetic dyssynchrony waveforms, but the evaluation only compares against the same synthetic model, not real patient data.
The development, optimization, and validation of four different machine learning algorithms to identify ventilator dyssynchrony,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model
A hybrid of a mathematical ventilator model and GANs generates synthetic dyssynchrony waveforms, but the evaluation only compares against the same synthetic model, not real patient data.