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• W3209796613 abstract "Abstract This research aims to improve mechanical ventilation therapy in the neonatal intensive care unit (NICU). Mechanical ventilation (MV) settings in this vulnerable cohort are currently clinically determined based on experience, estimation and patient response. Modelling the lung mechanics of each specific patient may aid as a setting guide for clinicians, and provide a deeper indication of patient status. This study presents a novel method for estimating the maximum remaining recruitable lung volume, Vm, of a neonate. Current methods for determining patient lung volume are invasive, costly and disruptive to care, so are not often performed. The method proposed is non-invasive and uses data readily available through bedside monitoring. An optimal Vm value was determined for each patient. When compared to patient mass, a strong linear relationship was determined. The variability of results reflects the inter-patient variability amongst this cohort and reinforces the need for patient-specific treatment solutions utilising novel, non-invasive metrics to provide better, more personalised care." @default.
• W3209796613 created "2021-11-08" @default.
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• W3209796613 date "2021-01-01" @default.
• W3209796613 modified "2023-09-23" @default.
• W3209796613 title "Estimating patient-specific maximum recruitable volume in neonatal lungs" @default.
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• W3209796613 doi "https://doi.org/10.1016/j.ifacol.2021.10.252" @default.
• W3209796613 hasPublicationYear "2021" @default.
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