Gerard Marrugat

Mr. Gerard Marrugat

AZTI, Member of Basque Research and Technology Alliance

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 September 2020 in Sensors
Verified
Journal Article
Open access
PDF file
RÁRoberto Álvarez
Roberto Álvarez
JTJordi Torres
Jordi Torres
GAGarazi Artola
Garazi Artola
Gorka EpeldeGorka Epelde
Gorka Epelde
Sara ArranzSara Arranz
Sara Arranz
Gerard MarrugatGerard Marrugat
Gerard Marrugat
Obesity is a preventable chronic condition that, in 2016, affected more than 1.9 billion people globally. Several factors have been identified that have a positive impact on long-term weight loss programs such as personalized recommendations, adherence strategies, weight and diet follow-up or physical activity tracking. Recently, various applications have been developed which help patients to self-manage their condition. These apps implement either one or some of these identified factors; however, there is not a single application that combines all of them following a holistic approach. In this context, we developed the OBINTER platform, which assists patients during the weight loss process by targeting user engagement during the longer term. The solution includes a mobile application which allows users to fill out dietetic questionnaires, receive dietetic and nutraceutical plans, track the evolution of their weight and adherence to the diet, as well as track their physical activity via a wearable device. Furthermore, an adherence strategy has been developed as a tool to foster the app usage during the whole weight loss process. In this paper, we present how the OBINTER approach gathers all of these features as well as the positive results of a usability testing study performed to assess the performance and usability of the OBINTER platform.