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Detection and quantitative analysis of patient-ventilator interactions in ventilated infants by deep learning networks.

David ChongGusztav Belteki
Published in: Pediatric research (2024)
The study of patient-ventilator interactions (PVI) in mechanically ventilated neonates is limited by the lack of unified PVI definitions and tools to perform large scale analyses. By adapting a recent taxonomy of PVI definitions in adults, we have manually annotated neonatal ventilator waveforms to determine prevalence and co-occurrence of neonatal PVIs. We have also developed binary deep learning classifiers for common PVIs to facilitate their automatic detection and quantification.
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