MSc thesis project proposal

Detecting pain and stress including sleep and wake up state of a neonatal with EEG signals

In collaboration with a startup in the medical field and as a small sub-project, we would like to monitor the EEG of a neonatal to detect and monitor pain and stress as well as sleep and wake up state.


The students will create a system that monitors EEG signals of a neonatal by means of sensors plugged on the baby’s skull. The EEG signals are being transferred via the internet to the backend of our system. The processed signal must be available on a multiplatform front-end application for the interpretation and decision making by the physician to provide the best treatment. You will be advising the best EEG sensors for this solution supporting specific requirements. You are being challenged to detect whether the baby is in pain, stressed or sleeping or just woke up. In any case, your solution will alert the doctors or caretakers via our alert system. The EEG data transfer must be secured and compressed. The data storage and the post-processing will be done at the backend of our system. The time frame of any alert must be accessible per patient based on their time stamps stored in the database. The sensors’ data and the post-processed signals creating alerts must be (clinically) validated. The final code needs also to be portable to an embedded Linux with less/limited amount of time/effort.


prof.dr. Paddy French

Bioelectronics Group

Department of Microelectronics

Last modified: 2018-04-20