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The modelling of bariatric populations in Digital Human Modelling systems

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conference contribution
posted on 2025-11-20, 12:37 authored by Steve SummerskillSteve Summerskill, Annabel Masson, Jon Mason, Joshua Fox, Russell MarshallRussell Marshall, Diane GyiDiane Gyi
<p dir="ltr">The increase of the population that exhibits a Body Mass Index above 30 kg/m<sup>2</sup> (bariatric populations) pose design challenges. In health care these challenges are particularly acute as they limit access for patients to key diagnostic tools such as MRI. There are also increasing numbers of bariatric staff in these settings which causes accessibility problems for staff interacting with medical equipment and patients whilst performing medical procedures and other care tasks. This paper presents initial work in the modelling of bariatric populations in a DHM system, utilizing data gathered in previous work from a sample of 100 bariatric people. The data associated with this sample included 13 anthropometric measures and a classification of overall form. The paper describes the process by which these data were used to model specific individuals in the SAMMIE DHM system. The challenges associated with defining a representative body form using these measures are presented along the subsequent application of the Bariatric digital personas in the design process for medical equipment.</p>

Funding

Improving Safety for Older Public Transport Users : G1001863/1

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Advances in Digital Human Modeling: Proceedings of the 8th International Digital Human Modeling Symposium, 4-6 September 2023, Antwerp, Belgium. Lecture Notes in Networks and Systems 744

Volume

LNNS 744

Pages

203 - 211

Publisher

Springer, Cham

Version

  • AM (Accepted Manuscript)

Rights holder

© The Author(s), under exclusive license to Springer Nature Switzerland AG

Publisher statement

This version of the article has been accepted for publication and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-37848-5_23

Publication date

2023-07-19

Copyright date

2023

ISBN

9783031378478; 9783031378485

ISSN

2367-3370

eISSN

2367-3389

Language

  • en

Depositor

Prof Russell Marshall. Deposit date: 12 November 2025

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