University of Nottingham
  

 

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Avoiding tracheal damage and ventilator-associated pneumonia

Description
Our iTraXS (intra Tracheal Multiplexed Sensing) tube has incorporated optical fibre sensors into the cuffs of the tube which can measure pressure and blood flow, humidity, temperature and biofilm thickness. This will avoid damaging the trachea and reduce the incidence of pneumonia.

Machine Learning to support care for premature babies in Low-Income Countries

Machine Learning to support care for premature babies in Low-Income Countries
Description
Clinical trial; GestATion, undertaken in Nottingham aiming to use Machine Learning to estimate gestation age in newborn babies using still images of the babies foot, face and ear. The method could be used in low-middle income countries where antenatal care is poor and many babies are born prematurely with no record of this or unable to decide on the care they require.

Award won for research into Optical Fibre Sensing during critical care

Award won for research into Optical Fibre Sensing during critical care
Description
Best poster presentation won on a work titled 'Optical fibre sensing during critical care' at the 5th International Conference on Biophotonics, Australia by Francisco Ulises Hernandez Ledezma, a PhD candidate at The University of Nottingham

Paediatric Healthcare Technologies

Paediatric Healthcare Technologies
Description
Clinicians, scientists and engineers at The University of Nottingham have studied the effects of noise, vibration and stress on premature babies in order to develop a safer, better transport incubator for use during transfers between hospitals for specialist care.
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