Available masters and doctoral projects

An overview of opportunities for students to work with scientists at Reykjavik University on research projects. Please contact the person listed within each project for further information.

Undergraduate level projects are on the Icelandic portion of RU's website: Available undergraduate level projects

  • Quality of Sleep

Quality of Sleep

PhD level project, School of Computer Science


Sleep quality is normally determined by analyzing data collected by electroencephalogram (EEG), an electrooculogram (EOG), and an electromyogram (EMG) signals. The sleep quality is defined as having an uninterrupted sleep profile, having sufficient amount of deep sleep, and having few arousals. During sleep several physiological processes change depending on sleep stage and arousals. These physiological processes include respiratory and cardiac processes which can be measured in a relatively simple sleep study. The project aims to develop an algorithm to measure sleep quality using signals from sleep recordings, other than the EEG, EOG, and EMG signals.


Sleep is staged into 3 non-REM sleep stages, REM sleep, wake periods, and arousals. The staging is done by analyzing EEG, EOG, and EMG signals and following a set of rules developed for physicians in the 1960'. Today, algorithms exist which can classify these signals into sleep stages. These sleep staging rules were developed using the best technology available at the time, but new technology has opened up new possibilities in measuring the quality of sleep. It is known that during sleep in normal people respiration slows down, heart rate decreases, blood pressure decreases, and heart rate variability and respiratory rate variability decrease. In REM sleep these processes may look more like in a waking person, but skeletal muscles are paralyzed. Several clinical conditions can cause variations in these processes such as resistant hyper tension, REM behaviors, and heart problems.


In this project data from sleep studies will be analyzed to develop an algorithm to stage sleep and detect arousals using other signals than the EEG, EOG, and the EMG.

Funded positions



This project is a collaboration between Reykjavik University's Language and Voice Lab and Nox Medical.


Jón Guðnason, jg@ru.is