Theses

Monitoring of Sleep With a Band Aid Technologies

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Mobile Quality of Life Lab: Towards Improving Sleep Health for Everyone with mQoL-Sleep

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Tracking Back the Self-Trackers: A Study Of The Quantified-Self Community

Department of Media, Cognition and Communication, University of Copenhagen, Denmark

Lifestyle-Based Chronic Disease Risk Assessment

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Exploring Data From Wearable Trackers (Fitbit) In Prediction Models For Implantable Cardioverter-Defibrillator (ICD) Patients – A Mixed Method Approach

Department of Health Informatics, University of Copenhagen, Denmark

Diabetes Risk Assessment Based on Physical Activity and Sleep Duration Using Wearable Trackers

Department of Bioinformatics, Faculty of Science, University of Copenhagen, Denmark

Automated Ambulatory Detection and Prediction of Condition Worsening in Chronic Care

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Factors Influencing Individual’s Sleep Quality and Quantity

Faculty of Humanities and Faculty of Science, University of Copenhagen, Denmark

Activity Level Estimator

University of Geneva, Switzerland

Mobile User’s Location Prediction Study

University of Geneva, Switzerland