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

Journal: Pediatric research

PMID: 38316942

Abstract

BACKGROUND: 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.

Authors

David Chong

Neonatal Intensive Care Unit, The Rosie Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Gusztav Belteki

Neonatal Intensive Care Unit, The Rosie Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK. gbelteki@aol.com.

Keywords

Deep Learning Female Humans Infant, Newborn Male Neural Networks, Computer Respiration, Artificial Ventilators, Mechanical

External Resources

View on PubMed Access via DOI PubMed (38316942)

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

Abstract

Authors

Keywords

External Resources

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