Respiration is of interest for many diseases like chronic obstructive pulmonary disease or congestive heart failure. Interesting is to access if and to what extend respiration is limiting for daily living activities of these patients.
Within this project the aim is to develop algorithms for reliable monitoring of respiration during light exercise for wearable sensors. However, during exercise the signal can be distorted. The first step in this project would include signal processing and motion artifact reduction approaches. If needed for algorithm development in-house data collection studies should be performed. Secondly, features would be extracted that allow follow up of respiration over time. The ultimate goal is to assess these features in clinical data from patients in cardiac and/or pulmonary revalidation programs.
Ms Najat Loiazizi, HR Business Partner.
Telephone number: +31 (0)40 40 20 675