Content available in repository
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Project Details
Description
The STRAP consortium is formed by three leading universities with complementary expertise, two healthcare organizations, and six innovative small-medium companies, that are aiming at technological innovations in healthcare. These partners collaborate with the eScience center to develop big data solutions for the prevention and diagnosis of heart disease.
Background
STRAP is a consortium formed in response to acute needs in cardiac care as these were experienced in cardiology clinics, combined with the gradual commodification of health tracking technologies. Our project manager and the person who initiated the project, Eelko Ronner, were particularly concerned that many of the technological-driven initiatives in this area do not address the most acute bottlenecks in healthcare. So the project was set up to develop a new AI-powered solution, with low-cost technology, aiming for a higher impact on healthcare costs.
Goal
To demonstrate the early detection of deterioration of heart condition in heart failure patients using IoT technologies for longitudinal ambulatory assessment.
Background
STRAP is a consortium formed in response to acute needs in cardiac care as these were experienced in cardiology clinics, combined with the gradual commodification of health tracking technologies. Our project manager and the person who initiated the project, Eelko Ronner, were particularly concerned that many of the technological-driven initiatives in this area do not address the most acute bottlenecks in healthcare. So the project was set up to develop a new AI-powered solution, with low-cost technology, aiming for a higher impact on healthcare costs.
Goal
To demonstrate the early detection of deterioration of heart condition in heart failure patients using IoT technologies for longitudinal ambulatory assessment.
| Status | Active |
|---|---|
| Effective start/end date | 2/06/20 → 31/12/25 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Toward Designing for Social Connectedness in Cardiovascular Disease Self-Care
Cerón-Guzmán, J. A., Tetteroo, D., Hu, J. & Markopoulos, P., 21 Sept 2023, ECCE 2023 - Proceedings of the European Conference on Cognitive Ergonomics 2023. Dix, A., Reppa, I., Westling, C., Witchel, H., Safin, S., van der Veer, G., MacInnes, J. & Bond, R. (eds.). New York: Association for Computing Machinery, Inc, 5 p. 22. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile -
“Not Sure Sharing Does Anything Extra for Me”: Understanding How People with Cardiovascular Disease Conceptualize Sharing Personal Health Data with Peers
Cerón-Guzmán, J. A. (Corresponding author), Tetteroo, D., Hu, J. & Markopoulos, P., 2 Aug 2022, In: International Journal of Environmental Research and Public Health. 19, 15, 19 p., 9508.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Citations (Scopus)81 Downloads (Pure)