Research

The group works within a set of core computer science research topics, builds and supports a set of research software technologies and applications, and is involved in a wide range of research projects.

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:

 

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 medicine47(03), 178-185.
  2. Arnrich, B., Mayora, O., Bardram, J., & Tröster, G. (2010). Pervasive healthcare. Methods of information in medicine49(01), 67-73.
  3. Bardram, J. E., & Frost, M. (2016). The Personal Health Technology Design Space. IEEE Pervasive Computing15(2), 70-78.