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Published: Oct 18, 2016 11:57:34 AM
Published: Oct 14, 2016 9:57:14 AM
Published: Oct 5, 2016 4:43:56 PM
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The WellbeingUCL Survey Report
The launch of the proof of concept pilot survey was successful: it attracted many participants, and generated follow-up enquires from students (ICH, The Bartlett, Germany, Australia and students enrolled on the MSc in Clinical & Public Health Nutrition). As a result, the survey was extended for three weeks.
The wellbeing survey collected the following data:
• Anonymous personal data – collected via a registration web site
• Anthropometrics – collected via a 3D body scanner
• Body composition – collected using a Tanita body composition monitor
• Physiological data - collected via internet-enabled devices (cf. Omron) which can measure: heart function (EGG electro cardiogram), lung function (Spirometry), body temperature, blood pressure, blood oximetry, blood glucose etc.
• Socio-economic data – collected via a web site questionnaire
• Nutrition and exercise data – Collected via a web site questionnaire
The data collected has been used by some MSc students for their dissertations. MSc student groups will continue to use the unit for gaining experience of collecting data with digital equipment, as it is now a permanent part of the curriculum.
The experience gained by the UCL research team has enabled us to develop procedures and to train and to support ICH and Newcastle University research groups, both of which are conducting health and wellbeing surveys of children in local schools.
Professor Treleaven made a further presentation during the UCL Wellbeing Week in February 2012, when he outlined the pilot survey, the application of data capture devices used in the mobile unit and the software developed for the 3D Healthcare System for a general practitioners surgery. This was a project supported by Crucible funding. He followed on with a description of existing 3D scanners and the use of Microsoft Kinect as a future data capture device. Members of the audience participated in a live demonstration.
Professor Philip Treleaven & Jennifer Bougourd, UCL Computer Science
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