2022 | Health | Netherlands | Promising | SDG3 | SDG8

Company or Institution

University of Groningen







Sustainable Development Goals (SDGs)

SDG 3: Good Health and Well-being

SDG 8: Decent Work and Economic Growth

General description of the AI solution

Metabolic syndrome affects about one third of the population of countries all around the world. The condition is associated with increased cardiovascular mortality and diabetes. These two accounts for most of the deaths caused by non-communicable diseases. Since the main causes of metabolic syndrome are a sedentary lifestyle, reduced physical activity, and poor eating habits, these deaths could be prevented. However, health care systems are currently focusing on treating the symptoms instead of targeting the problem itself.
Be-INTACT is a decision support system that uses wearables and nearables to derive the health condition of the users and support them with lifestyle changes that reduce the risk of developing metabolic syndrome. The system consists of two components: a smart office workspace and a wearable that monitors food intake and movement. Both components are connected to a server which performs a context-aware analysis and sends suggestions for interventions that improve the user’s lifestyle. If desired, users can share anonymized results of this analysis with their employer who can use the results to improve the working environment or with their health care provider who can give them more tailored advice.
The real-time advice provided by our system will complement general health awareness campaigns of local governments by providing personalized advice. Thereby, Be-INTACT will contribute to a reduction of preventable deaths by non-communicable diseases and to a sustainable health care by limiting the number of citizens that need treatment of metabolic syndrome and related complications.


A. Breuss, N. Vonau, C. Ungricht, E. Schwarz, M. Irion, M. Bradicich, F. A. Grewe, S. Liechti, S. Thiel, M. Kohler, R. Riener, and E. Wilhelm. "Sleep Position Detection for Closed-Loop Treatment of Sleep-Related Breathing Disorders". Rehabweek 2022, Rotterdam, The Netherlands

Crivello, A., La Rosa, D., Wilhelm, E. and Palumbo, F., 2022. A Sensing Platform to Monitor Sleep Efficiency. In Italian Forum of Ambient Assisted Living (pp. 335-345). Springer, Cham.

Khair Nahhas, M., Gerig, N., T ̈urp, J.C., Cattin, P., Wilhelm, E., Rauter, G.. (2021). Impact of ear occlusion on in-ear sounds generated by intra-oral behaviors. MESROB workshop 2021, Basel 7.-9.06.21

M.K. Abu Hantash, E. Wilhelm, G.J. Verkerke, M. Cao. "DECISION-SUPPORT SYSTEM (DSS) THAT DERIVES ONE’S HEALTH CONDITION FROM WEARABLE SENSORS" 8th Dutch Biomedical Engineering Conference. online.2021

E. Wilhelm, F. Crivelli, N. Gerig, M. Kohler, and R. Riener. The anti-snoring bed-a pilot study. Sleep Science and Practice , 2020, 4, no. 1, 1-8.



Mentorship Program


International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana



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