Commoditization of digital cameras in visible, nIR and thermal infra-red spectral ranges has led to the discovery of a relatively large variety of techniques to measure physiological parameters in an entirely contactless manner, using these cameras. Within the UMOSA project we will explore two contactless techniques, namely speckle vibrometry and remote thermography because each has a unique measurement principle, and consequently, they provide a relatively broad range of complementary physiological parameters.
In this project, you will investigate how camera based monitoring can be used to monitor the respiratory flow in sleep patients. The ultimate goal is to detect and quantify the severity of sleep apnea using such remote monitoring techniques. To be able to differentiate between obstructive and central apnea, respiratory effort and airflow have to be measured simultaneously. To this end you will combine and extend existing camera based remote thermography (rTG) and remote PPG techniques. One of the major challenges in building real world systems based on these remote sensing principles lays in the detection of the relevant body parts (i.e., nostrils, skin, chest) while the patient is partially covered with sheets and might be turning around while sleeping. For this purpose novel AI-based detection and tracking algorithms need to be developed. Your project should result in a technical demonstrator that is validated in a real sleep clinic with real patients.
Departments and collaborators
The Electronic Systems group consists of seven full professors, ten assistant professors, several postdocs, about 40 PDEng and PhD candidates and support staff. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and lead to high quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time requirements and stringent power constraints are an explicit focus point of the group. Within this area, prof.dr.ir. G. de Haan and dr.ir. S. Stuijk have developed various novel remote vital signs monitoring algorithms and their embedded implementations.
The UMOSA project team is designed to combine extensive knowledge in the key fields.
The project team includes partners from Philips and the Kempenhaeghe sleep hospital.
As part of this project, the candidate will work closely with these partners to ensure that the developed techniques are suitable for use in clinical practice.
We are looking for candidates that match the following profile:
For more information about the project and any informal enquiries, please contact
dr.ir. S. Stuijk (s.stuijk[at]tue.nl)
For more information on working at the TU/e and employment conditions, see here
or contact Mrs. Linda van den Boom, HR Advisor (l.j.c.v.d.boomen[at]tue.nl).
More information on employment conditions can be found here.
If interested, please use 'apply now'-button at the top of this page. You should upload the following:
Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.
Please keep in mind; you can upload only 5 documents up to 2 MB each.