Research

The group's research is focused on what we have chosen to call "Personalized Health Technology" [3], but this line of research has also be labeled as Pervasive Healthcare [1,2], Personal Health Informatics, Digital Health, Mobile Health (mHealth), or Health IoT (Internet-of-Things). These names overlap and more or less refers to the same. Our definition of personalized health technology is;

"...a generic class of pervasive computing technologies that uses personal mobile devices and back-end servers for health- and behavior-related data sampling, processing, visualization, and feedback." [3, p. 70]

A very generic software architecture for such system are shown below (from [3]).

Research Topics

The group works in a set of core computer science research topics as well as in more health-application oriented research topics, including:

• Ubiquitous Computing, including Mobile and Wearable Sensing and Context-aware Computing
• Distributed Software Architectures for data collection, management, security, and privacy
• Feature Modelling and Machine Learning for behavior and disease modelling
• Human-Computer Interaction for the design of easy-to-use personal health technology
• Health-specific application development for e.g. psychiatry, neurology, diabetes, cardio-vascular diseases, and cancer.

Research Tools and Software

The group builds and maintains a set of software tools for own and general use. Most of this is open source and is available from the CACHET github. These tools include:

• Open mHealth schema support for Flutter.
• CARP Mobile Sensing – a mobile and wearable sensing framework for Flutter
• CARP Cloud – a cloud-based RESTfull web service platform for collection, storage, and analysis of collected beharioral and health data. Implements the Open mHealth API.

Research Applications

The group have released a set of health-specific tools and applications.

• MUBS – a behavioral activation app supporting patients with depression
• ICAT – an web-based cognitive functioning assessment platform
• mCardia – a Context-aware ECG monitoring system for arrhythmia screening

Research Projects

The groups is involved in a range of research projects, which all takes place as part of the Copenhagen Center for Health Technology (CACHET), including:

• RADMIS – Reducing the rate and duration of readmission among patients with unipolar and bipolar disorder using smartphone-based monitoring and treatment.
• REACH – Responsive Engagement of the Elderly promoting Activity and Customized Healthcare
• REAFEL – Reaching the Frail Elderly Patient for optimizing diagnosis of atrial fibrillation
• BHRP – Biometric Healthcare Research Platform for research in psychiatric and neurological diseases using sensor technologies
• Phy-Psy Trial – A cluster randomised, parallel-group, 5-year trial of coordinated, co-produced care to reduce the excess mortality of patients with severe mental illness by improving the treatment of their comorbid physical conditions.
• TEAM – Technology Enabled Mental Health for Young People

References

1. Bardram, J. E. (2008). Pervasive healthcare as a scientific discipline. Methods of information in medicine, 47(03), 178-185.
2. Arnrich, B., Mayora, O., Bardram, J., & Tröster, G. (2010). Pervasive healthcare. Methods of information in medicine, 49(01), 67-73.
3. Bardram, J. E., & Frost, M. (2016). The Personal Health Technology Design Space. IEEE Pervasive Computing, 15(2), 70-78.