STRAP: Self TRAcking for Prevention and diagnosis of heart disease

Our goal is to find heart disease earlier and or prevent it. To achieve this goal, we conduct fundamental research using creative methods, big data and new techniques. We do this on the basis of 2 studies.

The first studies people who visit outpatient clinics in cardiology. Are there patterns that are related to cardiac examinations and problems that can be discovered with the help of questionnaire models and new technologies? A second study focuses on home analyses in a population with heart failure. We measure motion, response to serious gaming, and use other eHealth and sensor technologies.

Which data relate to cardiovascular health? Can Big Data research relate to each other and are they correct? How can analyses performed in a transparent way? How can you make the best connections? Is a pre-selection necessary?

We also focus on design research. How is sensor technology experienced, and continuous tracking? We also investigate how care data should be presented to a care provider. The question here is not only how to provide feedback on data to the end user, but also how data can be presented to healthcare personnel. Insight into the needs of healthcare personnel is analysed and research is also needed into the appreciation of the representation of data.

In summary, we are looking for the fundamental deepening, what can, what is allowed, what works, how do we reach care personnel, how do we reach an older population?

More information
Titel project: STRAP: Self TRAcking for Prevention and diagnosis of heart disease

Programma: Commit2Data-Program

Organisatie: NWO

Partners: Technische Universiteit Eindhoven, Erasmus MC, Technische Universiteit Delft, Cardiron BV, MyoVista, Sostark SME, Reinier de Graaf Gasthuis, Stethee, BOBO Tech, Game Solutions Lab SME, Smart Toilets en WCN


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