Finalized PhD Projects

Smartphone-based biomarkers

Bipolar disorder is a severe mental illness affecting 2% of the population that is characterized by recurrent changes in mood with depressive and (hypo)manic episodes. Accurate diagnosis of bipolar disorder is a challenge, and patients often experience symptoms for years before correct diagnosis and treatment is initiated.

Smartphone-based biomarkers

Algorithms for Neurodegenerative Diseases

Parkinson’s disease (PD) is one of the most important neurodegenerative disorders with major impact on quality of life, morbidity and mortality and there are still not valid and world-recognized biomarkers for identification of early stages of the disease.

Algorithms for Neurodegenerative Diseases

Behavioural Activation

Can we, like the psychologist, locate the same activities that promote healthy or depressed behavior, and recommend activities accordingly?

Behavioural Activation

Personalizing Hearing Care

Hearing impairment is a growing health- and wellbeing challenge both at a personal and a societal level. This project explores the use of hearing aids, smartphones and mobile devices to personalise hearing aids to the individual.

Personalizing Hearing Care

Smart Wearables for Dementia Monitoring

Dementia, elderly man sitting on a bench

The first phase of the project focuses on gathering information to understand the needs of the dementia care network and relating these to functionality offered by existing smart wearables. An outcome from this will be a basic prototype (adapted smartwatch) to be used by people with dementia over several months in a collection of case studies.

Smart Wearables for Dementia Monitoring

Behavioural monitoring using wearables

Increase of sedentary behaviour and obesity has been on the rise for a score of years or more, despite public information campaigns and even the incursion of the latest fad, ﬁtness trackers. The latter were by industry heralded as life–changers that by simple mechanisms would change the behaviour of the wearer to be more active and more healthy.

Behavioural monitoring using wearables

Predicting Patient Outcomes

With an increasingly older population and a shrinking work force, there is a need to streamline the available resources. By using wearable sensors to monitor a patient’s condition, the resources of medical staff can be used more effectively on more demanding tasks than simple surveillance.

Predicting Patient Outcomes

Treatment of unipolar and bipolar disorders

Smartphones provide a unique platform for monitoring and treatment of depression and mania.

Treatment of unipolar and bipolar disorders