12 research outputs found

    A technology platform for enabling behavioural change as a “PATHway” towards better self-management of CVD

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    We describe a technology platform developed as part of a novel approach to technology-enabled exercise-based Cardiac Rehabilitation (CR), termed PATHway. We explain the overall concept and explain how technology can facilitate remote participation and better adherence to communitybased long-term Phase III CR. The demo will showcase the user experience of interacting with the PATHway system, including navigation and manual data entry, whilst also demonstrating real-time sensing and analysis of exercise movements and automatic adaptation of exercise based on physiological response

    Exploiting IoT Technologies for Personalized Learning

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    Use of Headspace Solid Phase Microextraction for the Quantification of Poly(3-hydroxybutyrate) in Microbial Cells

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    Biopolymers such as poly(hydroxyalkanoates) (PHAs) have received much attention due to their physico-chemical properties, biodegradability, and biocompatibility that make them good candidates for industrial and medical applications. Produced by some microorganisms PHAs accumulate within the cells of these organisms. The optimization of microbial processes to produce PHAs at a lower cost requires rapid and accurate techniques for quantification of the biopolymer in biomass. The present study describes a method based on solid-phase microextraction (SPME) coupled to gas chromatography (GC) for the determination of poly(3-hydroxybutyrate) (PHB) in Alcaligenes latus cells. First PHB was depolymerized by either methanolic or hydrolytic digestion into methyl 3-hydroxybutyrate (Me-3-HB) or crotonic acid (CA), respectively. The resulting analytes were then subjected to analysis by headspace SPME/GC with flame ionization detection (FID). The two depolymerization/SPME/GC-FID methods were optimized and applied to the analysis of PHB in bacterial biomass harvested from a fermentation process that uses A. latus. Results were compared with those obtained using GC-FID analysis of MeOH/CHCl(3) digested samples. Excellent agreement was found between the three methods but the two SPME-based methods were environmentally friendly and easier to perform.Peer reviewed: YesNRC publication: Ye

    Goal: An eHealth application for rewarding healthy behaviour: The first experiences of older adults

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    It is important to motivate older adults to lead an active lifestyle. Mobile games and applications can motivate older adults to increase physical, social and cognitive activity. Such a mobile application platform is developed within the GOAL project (H2020 project no. 731656). The aim of this paper is to introduce GOAL, to provide an overview of ongoing evaluations and to present the intermediate results concerning the usability of end-user acceptance of this technology among older adults. GOAL consists of three core components: the GOAL Website, the GOAL Web Portal and the GOAL Mobile Applications. The evaluation has an iterative approach. In total, there are four evaluation phases. During the first three phases, subjects are invited for a pre-test and post-test assessment. During phase 4, subjects are invited to use GOAL by sending out a mass email to get people to sign up to GOAL for themselves. The results of phase 1, 2 and 3 of the evaluation (especially the suggestions by the t arget group) lead to several points of improvement for the GOAL system, to increase the adoption of this technology by older adults. Over the phases, the level of usability increased and subjects become more and more enthusiastic about GOAL
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