The School of Medical Physics and Engineering group, department of Applied Physics, has a job opening for a PhD student on Motion Monitoring for Neonatal applications.
Background Medical care for very premature infants in developed countries is provided in a Neonatal Intensive Care Unit (NICU), where infants spend the first weeks or even months of their lives in a vulnerable state in which life-threatening complications can occur. Patient monitoring equipment is used to continuously monitor vital signs, such as heart rate, respiration and oxygen saturation. Timely detection of acute deterioration in (preterm) infants is a great challenge. Acute deterioration or critical illnesses may be accompanied by changes in body movement, however this information is not continuously measured. There is a need for solutions that can reliably monitor the patient with a more-integrated and less-obtrusive (e.g., wearable / camera) form of sensors that provides self-explanatory movement information that is easily interpretable.
Project descriptionIn the research consortium of
Eindhoven University of Technology, Máxima Medical Centre and Philips already several sensors are available for movement detection, like (fiber) mattresses and video based techniques. Mattresses under the patient have proven to be able to detect motion and respiration, however they fail in detecting signals when the infant gets kangaroo care; camera methods fail to detect motion in poor light conditions or when patients are covered by blankets and wearable sensors are not giving sufficiently robust continuous information. It is important to investigate the possibilities and choose a technology that can be feasible in routine neonatal intensive care setting.
In this project, the following steps are foreseen:
- Perform a clinical review study and market-study to investigate current possibilities for monitoring of neonatal body movement in a less obtrusive way.
- Investigate current clinical data and use machine learning methods to determine motion from existing signals, like video-recordings. Cross-validate data collected from various current and new sets of sensors and investigate fusion possibilities.
- Integrate the reduced sensor set in a more compact package with soft wearable forms (e.g., mattress, blanket, socks, clothing) and/or camera solution for continuous motion monitoring.
- Test the new solutions in a clinical study.
Departments and collaboratorsEindhoven University of Technology (TU/e) is a world-leading research university specializing in engineering science & technology, with a strategic collaboration with Philips and several regional hospitals, like Máxima Medical Center, who are both involved in the current project.
The School of Medical Physics and Engineering Eindhoven (SMPE/e) specializes in engineering and implementation of technology in healthcare and has a long track record of educating healthcare engineers and supporting healthcare projects in hospitals and other healthcare institutions, in clinical physics, medical engineering and clinical informatics.
The current position is positioned in the
eMTIC consortium and is a collaboration between the TU/e departments of Applied Physics, Electrical Engineering and Industrial Design, and (clinical) supervisors from MMC and Philips are included.