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Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile
Auckland University of Technology, New Zealand.
Auckland University of Technology, New Zealand.
Auckland University of Technology, New Zealand.
Auckland University of Technology, New Zealand.
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2019 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 261, p. 91-96Article in journal (Refereed) Published
Abstract [en]

There is a worldwide increase in the rate of obesity and its related long-term conditions, emphasizing an immediate need to address this modern-age global epidemic of healthy living. Moreover, healthcare spending on long-term or chronic care conditions such as obesity is increasing to the point that requires effective interventions and advancements to reduce the burden of the healthcare. This research focuses on the early risk assessment of overweight/obesity using wearable technology. We establish an individualised health profile that identifies the level of activity and current health status of an individual using real-time activity and vital signs. We developed an algorithm to assess the risk of obesity using the individual's current activity and calorie expenditure. The algorithm was deployed on a smartphone application to collect wearable device data, and user reported data. Based on the collected data, the proposed application assesses the risk of obesity/overweight, measures the current activity level and recommends an optimized calorie plan.

Place, publisher, year, edition, pages
NLM (Medline) , 2019. Vol. 261, p. 91-96
Keywords [en]
Activity detection, mHealth, Mobile health, Obesity risk assessment, Wearable technology
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-44664PubMedID: 31156097Scopus ID: 2-s2.0-85067100579OAI: oai:DiVA.org:mdh-44664DiVA, id: diva2:1331670
Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2019-06-27Bibliographically approved

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Lindén, Maria

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