Tag: research

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iPDM-GO: Integrated Personalised Diabetes Management Goes Europe

The iPDM-GO project aimed to improve diabetes care by applying the “integrated Personalised Diabetes Management” (iPDM) approach in Denmark. The goal was to enhance the iPDM approach with innovative personalized health technology and implement outcomes-based healthcare payment. The ultimate goal was to encourage individualized treatment of diabetes, as well as deploy payment systems that reward better healthcare, throughout Europe.

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REAFEL – Contextual ECG Monitoring and Atrial Fibrillation Detection in Cardiology

Chronic heart-related diseases are a major public health issue and is the leading cause of death and hospitalization for people 65+ years. The goal of the “Reaching the Frail Elderly Patient for Optimizing Diagnosis of Atrial Fibrillation” (REAFEL) project was to design a patient-centric home-monitoring platform for early detection of cardiac rhythm disorders. This would allow for timely intervention and prevention of serious conditions such as stroke and repeated falls.

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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.

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RADMIS – Smartphone-based Monitoring and Treatment of Mental Disorders

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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A Decade of Ubiquitous Computing Research in Mental Health

Together with Aleksandar Matic, I recently made an overview of the different Ubicomp technologies for mental health, which has been done over the last decade. The paper has just been published in the IEEE Pervasive Computing Magazine. But unfortunately, the supplementary material with references to all the 46 systems is missing. You can access this here.

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