Copenhagen Center of Health Technology | Technical University of Denmark | University of Copenhagen
As part of the “Mental Health: Sensing & Intervention” (MHSI) 2023 Ubicomp workshop, I was asked to give a “technical” keynote on the state of sensing in mental health. I gave a talk on “Technical Perspectives on Mobile Sensing in Mental Health” and the slides are available below, with a discussion of the key take-away messages.
Continue reading “Keynote Talk at UbiComp 2023 in Cancún, Mexico”
The assessment of cognitive functioning is core to most mental health and chronic conditions. Cognitive problems are one of the most critical comorbidities of many diseases. Hence, it is essential to be able to assess cognitive functioning, such as working memory, reaction time, spatial-visual skills, executive functioning, etc.
Continue reading “Cognitive Assessment Technology”
The Copenhagen Center for Health Technology located at the Technical University of Denmark has an opening for a fully funded PhD scholarship within digital phenotyping for comorbid mental health.
Continue reading “PhD Scholarship in Digital Phenotyping for Comorbid Mental Health”
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.
Continue reading “REAFEL – Contextual ECG Monitoring and Atrial Fibrillation Detection in Cardiology”
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.
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.
Continue reading “RADMIS – Smartphone-based Monitoring and Treatment of Mental Disorders”
In the August issue of the Communication of the ACM, our review of Activity-Centric Computing Systems was published . This review covers a lot of research done by my research group over the years, as well as the works of others. The review was done in a systematic manner, trying to cover all the different kinds of research done in activity-centric computing over the years.
Continue reading “Activity-Centric Computing Systems”
Over the last couple of days, I’ve been visiting Cecilia Mascolo and Alastair Beresford at Cambridge University, Fahim Kawsar at Nokia Bell Labs, and Nic Lane at Samsung AI Lab in Cambridge.
Continue reading “Visiting Cambridge University”
Continue reading “Visiting the HCI Group at the University of Konstanz”
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”