CARP provides a set of open-source components – complete list
Cross-platform (Android, iOS) Flutter framework for mobile and wearable sensing.
Cross-platform (Android, iOS) Flutter framework for creating informed consent and surveys.
Cloud-based platform to manage research studies, and upload and analyse study data.
Multi-platform framework (Kotlin, Java, JavaScript) to implement distributed data collection solutions.
This is the homepage for the Copenhagen Research Platform (CARP).
CARP helps researchers build mobile health (mHealth) technology for digital phenotyping research. Read more…
CARP has been used to build a number of different mHealth applications for
mental health, cardio-vascular diseases, and diabetes.
mCardia is a context-aware ECG collection system for arrhythmia (irregular heartbeat) screening. This will enable longitudinal contextualized ECG collection in a natural setting and help in optimizing the diagnosis of …
MUBS – is a smartphone-based recommender system for the treatment of depressive symptoms. Adhering to the principles of Behavioral Activation (BA) therapy, MUBS aims to reinstate (i.e., recommend) pleasant activities back …
The DiaFocus system provides improved and structured communication between people with type-2 diabetes mellitus (T2DM) and healthcare professionals (HCP). The purpose of the study is to assess the system’s feasibility, …
The CARP Studies app provides an app for study participants to use “as-is” for digital phenotyping. The app is designed, developed, and maintained by us (DTU) and allows participants to …
The Copenhagen Research Platform (CARP) has been awarded DKK 8 million from the Novo Nordisk Foundation‘s Large Equipment and Facilities program. The five-year grant starts in January 2027 and will …
CARP has developed and released a new flutter plugin for working with Movesense devices. Unlike other plugins, the Movesense Plus includes the required movesense SDK for interacting with Movesense devices …
What happens to us during a busy scientific conference? How much do we walk? How well do we sleep? Are we stressed? And can smartphones capture these patterns without requiring …
