Skip navigation

A novel method to determine dynamic temperature trends applied to in-shoe temperature data during walking

A novel method to determine dynamic temperature trends applied to in-shoe temperature data during walking

Cutajar, L., Falzon, O., Mizzi, A., Swaine, I. ORCID logoORCID: https://orcid.org/0000-0002-3747-1370, Springett, K. and Mizzi, S. (2018) A novel method to determine dynamic temperature trends applied to in-shoe temperature data during walking. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. ISBN 978-1538636473 ISSN 1557-170X (Print), 1558-4615 (Online) (doi:10.1109/EMBC.2018.8513329)

[thumbnail of Author Accepted Manuscript]
Preview
PDF (Author Accepted Manuscript)
19931 SWAINE_A_Novel_Method_to Determine_Dynamic_Temperature_Trends_2018.pdf - Accepted Version

Download (495kB) | Preview
[thumbnail of Acceptance Email] PDF (Acceptance Email)
19931 SWAINE_Acceptance_Email_2018.pdf - Additional Metadata
Restricted to Repository staff only

Download (108kB) | Request a copy

Abstract

Body temperature is one of the fundamental measures considered in the assessment of health and wellbeing, with various medical conditions known to give rise to abnormal changes in temperature.

In particular, abnormal variations in dynamic temperature patterns during walking or exercise may be linked to a range of foot problems, which are of particular concern in diabetic patients.

A number of studies have investigated normative temperature patterns of a population by considering data from multiple participants and averaging results after an acclimatisation interval. In this work we demonstrate that the temperature patterns obtained using such an approach may not be truly representative of temperature changes in a population, and the averaging process adopted may yield skewed results.

In this work we propose an alternative approach to determine generic reference temperature patterns based on a minimization of root mean square differences between time-shifted versions of temperature data collected from multiple participants. The results obtained indicate that this approach can yield a general trend that is more representative of actual temperature changes across a population than conventional averaging methods. The method we propose is also shown to better capture and link the effects of underlying factors that influence dynamic temperature trends, which could in turn lead to a better understanding of underlying physiological phenomena.

Item Type: Conference Proceedings
Title of Proceedings: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Additional Information: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society was held at Honolulu, HI, USA, 17-21 July 2018.
Uncontrolled Keywords: Body temperature; health and wellbeing; exercise; diabetes
Subjects: Q Science > QP Physiology
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Exercise Activity and Rehabilitation
Related URLs:
Last Modified: 22 Nov 2021 11:49
URI: http://gala.gre.ac.uk/id/eprint/19931

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics