UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin

Longato, E; Garrido, M; Saccardo, D; Montesinos Guevara, C; Mani, AR; Bolognesi, M; Amodio, P; ... Montagnese, S; + view all (2017) Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin. PLoS One , 12 (6) , Article e0180315. 10.1371/journal.pone.0180315. Green open access

[thumbnail of journal.pone.0180315.pdf]
Preview
Text
journal.pone.0180315.pdf - Published Version

Download (2MB) | Preview

Abstract

A popular method to estimate proximal/distal temperature (TPROX and TDIST) consists in calculating a weighted average of nine wireless sensors placed on pre-defined skin locations. Specifically, TPROX is derived from five sensors placed on the infra-clavicular and mid-thigh area (left and right) and abdomen, and TDIST from four sensors located on the hands and feet. In clinical practice, the loss/removal of one or more sensors is a common occurrence, but limited information is available on how this affects the accuracy of temperature estimates. The aim of this study was to determine the accuracy of temperature estimates in relation to number/position of sensors removed. Thirteen healthy subjects wore all nine sensors for 24 hours and reference TPROX and TDIST time-courses were calculated using all sensors. Then, all possible combinations of reduced subsets of sensors were simulated and suitable weights for each sensor calculated. The accuracy of TPROX and TDIST estimates resulting from the reduced subsets of sensors, compared to reference values, was assessed by the mean squared error, the mean absolute error (MAE), the cross-validation error and the 25th and 75th percentiles of the reconstruction error. Tables of the accuracy and sensor weights for all possible combinations of sensors are provided. For instance, in relation to TPROX, a subset of three sensors placed in any combination of three non-homologous areas (abdominal, right or left infra-clavicular, right or left mid-thigh) produced an error of 0.13°C MAE, while the loss/removal of the abdominal sensor resulted in an error of 0.25°C MAE, with the greater impact on the quality of the reconstruction. This information may help researchers/clinicians: i) evaluate the expected goodness of their TPROX and TDIST estimates based on the number of available sensors; ii) select the most appropriate subset of sensors, depending on goals and operational constraints.

Type: Article
Title: Expected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0180315
Publisher version: http://doi.org/10.1371/journal.pone.0180315
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Education
URI: https://discovery.ucl.ac.uk/id/eprint/1563848
Downloads since deposit
92Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item