The CARP Mobile Sensing Framework – CAMS for short – is a programming framework for adding digital phenotyping capabilities to your mobile (health) app . CAMS is designed to support two things:
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- collection of sensor data from the smartphone on-board sensors and attached off-board wearable devices, and
- triggering of “user tasks” such as a survey or a cognitive test.
I’ve recently been putting together a description of my recent research in mental health. My interest in mental health dates back to the MONARCA project, which has led to a number of interesting results since, especially driven by the data that is still being collected, analysed, and published mainly by Maria Faurholt-Jepsen and Lars V. Kessing.
Now we have been researching the 2nd generation of mHealth technology for mental health as part of the RADMIS project. This has focused on the design of Behavioral Activation Technology, which supports therapeutic support for depressive patients. These technologies show promising results in terms of supporting intervention in mental health and has – in a non-randomized clinical trial – shown a reduction in depressive symptoms.
Behavioral activation is a 3rd generation behavior therapy for treating depression. We have build two different smartphone-based technologies supporting behavioral activation; MORIBUS and MUBS. MORIBUS is an app for patients to plan and track healthy activities designed to be part of BA therapy with a trained therapist, while MUBS utilize machine learning techniques for recommending healthy activities to patients and is designed to be used stand-alone outside therapy.
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According to WHO, depression is becoming a leading cause of disability. The aim of the “Reducing the rate and duration of readmission among patients with unipolar and bipolar disorder using smartphone-based monitoring and treatment” (RADMIS) project is to design smartphone-based monitoring and treatment technology for depressive patients. The clinical goal is to establish the efficacy of this technology by measuring hospital re-admission and clinical outcome.
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