UA-CANT and KUL-ESAT-SCD collaborate in the technical implementation of compressive sampling for the monitoring of signals. In this project the focus is on brain signals collected via an electroencephalogram (EEG). UA-CANT focuses on the computational and mathematical aspects of compressive sensing. The task is to modify and improve sparse methods to suit applications in biomedical signal processing. KUL-ESAT-SCD implements sparse sampling to practical biomedical applications, such as EEG, that lead to the development of smaller and smarter monitoring devices. In this process, KUL-ESAT-SCD and UA-CANT jointly interact with UA-TEW, which investigates the human and social factors of biomedical monitoring in the context of a health care system.

UA-TEW studies the possibility of incorporating smarter and smaller medical monitoring devices into a smarter healthcare system, the potentials and limitations of such technology, along with possible business opportunities. The potential of monitoring systems does not only depend on technological aspects. Innovations, before they are introduced, need to prove their value and acceptance. Therefore it is important that economists and technicians interact in an early phase of the development to steer it into areas which look worthwhile from an economic and social point of view.