2nd Generation mHealth for Mental Health

Photo by Anthony Tran on Unsplash

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.

RADMIS

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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Visiting the HCI Group at the University of Konstanz

Recently I had the pleasure to visit old friends at the Human-Computer Interaction Lab at the University of Konstanz. This was a really nice and relaxed visit, while also super busy. The first day I was the external thesis opponent on the PhD Thesis of Jens Müller. He did a really nice presentation of his work on co-located and distributed augmented reality, as presented in his CHI 2017 paper. The next day, we had a chance to go over the SmartAct Project and dig into some very technical details on how to collect sensor data from the Movisens sensor via BTLE. It was nice to study code rather seeing polished presentations.

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MONARCA

The MONARCA project was an EU FP7 STREP project (2010–14) involving 13 partners, including the IT University of Copenhagen and the Psychiatric Center Copenhagen (‘Rigshospitalet’) . The goal was to;

“…develop and validate solutions for multi-parametric, long term monitoring of behavioural and physiological information for bipolar disorder”

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