STOP Project: Development of STOP portal, data and knowledge ecosystem for healthcare professionals and persons with obesity

Anne Moorhead, Huiru Zheng, Felix Engel, Binh Vu, Matthias Hemmje, RR Bond, Haiying / HY Wang, Mike McTear

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Introduction: Obesity is a major risk factor for a number of chronic diseases, including diabetes, cardiovascular diseases and cancer, thus work on obesity care related topics is highly connected to further urgent global health related challenges. This research is part of the STOP project, a H2020 RISE project funded by European Commission (GA No 823978) to address the challenge of preventing obesity in Europe. The interdisciplinary European STOP project aims to establish a data and Knowledge Ecosystem as a basis for the STOP Portal to enable healthcare professionals in decision support, and persons with obesity (PwO’s) in analysis and feedback of health information to optimise healthy nutrition. The aim of current research was to design the STOP Portal to assist healthcare professionals in decision support, and PwO’s in analysis and feedback of health information.

Methods: This was a mixed methods study. Data used in this study include 1) physical activity data collected by wearable sensors such as fitbit wrist bands, smart watches and smart mobile phones; 2) nutrition information provided retailors and self-reporting; 3) physiology information, such as BMI, heart rate, blood pressures by measurement; and 4) other self-reporting data, such as physical activities that are not recorded by sensors, feedbacks. The participants are PwO and health professionals.

Results: The STOP platform has been designed, see Figure 1 below. This includes exposed interfaces to capture additional personal exercise and nutrition information and provide intelligent interactive communication with users, besides access to information from a broad range of relevant knowledge bases to support decision making of healthcare professionals. To reach this goal we aim to develop a mobile app, a secured multiclient web-based portal, integrating several ML based support tools.

Conclusion: The STOP platform has been designed to capture various PwO data from different kind of smart sensor streams and chatbot technology, manage and enrich available data with existing knowledge bases and fuse these by machine learned based data fusion approaches for sophisticated data analysis. Future planned research with this STOP platform will be include feasibility study and RCT to determine the effectiveness of this platform. This STOP project addresses obesity management and prevention through the foundation of an innovative platform to support persons with obesity with a better nutrition under supervision of healthcare professionals.

Conflict of Interest:
There were no conflicts of interest

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823978.
Original languageEnglish
Title of host publicationEuropean and International Congress on Obesity
Place of PublicationDublin
Publication statusPublished (in print/issue) - 4 Sept 2020


  • Obesity, technology, healthcare professionals and persons with obesity


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