Minimally Invasive Surgery and Interventional Techniques
Department of Biomechanical Engineering - Delft University of Technology
Contact
Prof.dr. Jenny Dankelman
Unobtrusive monitoring for neonates in the neonatal intensive care unit
10 April 2013

The last few decades have seen a great improvement in neonatal monitoring techniques, improving the quality of data obtained, and leading to better survival rates. However, these techniques have side effects when used on such a vulnerable population due to their invasive nature. The use of electrodes for example can damage the skin of neonates with the scars evident for more than 10% of the population.

Philips research is investigating unobtrusive sensing for the NICU, aiming for novel modalities that can be used to provide reliable measures, enabling children to recover faster while giving them a more comfortable environment. We have closely collaborated with neonatologists from the Maxima Medical Centre in Veldhoven (MMC) on the use of sensors in the NICU for unobtrusive vital sign monitoring. We have acquired several datasets backed up with validation from patient monitors, videos and user annotations while observing the neonates.

The project will focus on data analysis and observation with an important focus on the fusion of information from several modalities for more reliable vital sign detection. The project provides a very dynamic environment in close contact with signal processing and machine learning experts, neonatologists and clinicians. This will enable the MSc student to learn new skills and provide input to solve challenging real-life scenarios encountered in the hospital.

Required skills: Signal processing background, Matlab.

For more information, please contact Dr Louis Atallah, Senior Research Scientist, Patient Care Solutions department, Philips Research Laboratories, E-mail: louis.atallah@philips.com.

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