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.
Continue reading “iPDM-GO: Integrated Personalised Diabetes Management Goes Europe”Keynote Talk at UbiComp 2023 in Cancún, Mexico
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”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.
Continue reading “REAFEL – Contextual ECG Monitoring and Atrial Fibrillation Detection in Cardiology”Introduction to CARP Mobile Sensing
Today I gave a short introduction to CARP Mobile Sensing at Sumi Helal‘s class on Digital Health at the University of Florida.
Continue reading “Introduction to CARP Mobile Sensing”The CARP Mobile Sensing Framework
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:
- 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.
Behavioral Activation Technology
Behavioral activation is a 3rd generation behavior therapy for treating depression. We have built 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 utilizes machine learning techniques for recommending healthy activities to patients and is designed to be used stand-alone outside therapy.
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