The University of Southampton
University of Southampton Institutional Repository

A sensitivity analysis to evaluate the performance of temporal pressure - related parameters in detecting changes in supine postures

A sensitivity analysis to evaluate the performance of temporal pressure - related parameters in detecting changes in supine postures
A sensitivity analysis to evaluate the performance of temporal pressure - related parameters in detecting changes in supine postures
Pressure mapping systems have been traditionally used to assess load distributions in individuals at risk of pressure ulcers. Recently, the technology has been adapted to monitor pressures over prolonged periods. The present study aims to investigate the predictive ability of selected biomechanical parameters estimated from pressure distributions for detecting postural changes in lying. Healthy participants (n = 11) were recruited and positioned in different lying postures, by utilizing the head of bed (HOB) angle and an automated tilting system to achieve evoked movements in the sagittal and transverse planes, respectively. Measurements included continuous monitoring of interface pressures and accelerations from the trunk and waist. Selected interface pressure parameters included; centre of pressure, contact area and pressure gradient. A threshold range for all parameters was established and Receiver Operating Characteristic (ROC) curves presented to determine the sensitivity and specificity for detecting postural changes. Temporal trends in the data revealed significant variance in the signal perturbations during each evoked postural change. Indeed, sensitivity and specificity were influenced by the specific threshold values and the relative position of the individual. As an example, sensitivity of some parameters exhibited a compromised trend at higher HOB angles, with low corresponding area under the ROC curve. By contrast, contact area provided the highest values, with 7/12 signals achieve AUC >0.5. This corresponded with actimetry signals, which provided high discrimination between postures. Parameters estimated from a commercial pressure monitoring can have the potential to detect postural changes. Further research is required to convert the data into meaningful clinical information, to inform patient repositioning strategies.
1350-4533
33-42
Caggiari, Silvia
58f49054-6ca6-429b-b499-49b93357e5ba
Worsley, Peter R.
6d33aee3-ef43-468d-aef6-86d190de6756
Bader, Dan L.
9884d4f6-2607-4d48-bf0c-62bdcc0d1dbf
Caggiari, Silvia
58f49054-6ca6-429b-b499-49b93357e5ba
Worsley, Peter R.
6d33aee3-ef43-468d-aef6-86d190de6756
Bader, Dan L.
9884d4f6-2607-4d48-bf0c-62bdcc0d1dbf

Caggiari, Silvia, Worsley, Peter R. and Bader, Dan L. (2019) A sensitivity analysis to evaluate the performance of temporal pressure - related parameters in detecting changes in supine postures. Medical Engineering & Physics, 69, 33-42. (doi:10.1016/j.medengphy.2019.06.003).

Record type: Article

Abstract

Pressure mapping systems have been traditionally used to assess load distributions in individuals at risk of pressure ulcers. Recently, the technology has been adapted to monitor pressures over prolonged periods. The present study aims to investigate the predictive ability of selected biomechanical parameters estimated from pressure distributions for detecting postural changes in lying. Healthy participants (n = 11) were recruited and positioned in different lying postures, by utilizing the head of bed (HOB) angle and an automated tilting system to achieve evoked movements in the sagittal and transverse planes, respectively. Measurements included continuous monitoring of interface pressures and accelerations from the trunk and waist. Selected interface pressure parameters included; centre of pressure, contact area and pressure gradient. A threshold range for all parameters was established and Receiver Operating Characteristic (ROC) curves presented to determine the sensitivity and specificity for detecting postural changes. Temporal trends in the data revealed significant variance in the signal perturbations during each evoked postural change. Indeed, sensitivity and specificity were influenced by the specific threshold values and the relative position of the individual. As an example, sensitivity of some parameters exhibited a compromised trend at higher HOB angles, with low corresponding area under the ROC curve. By contrast, contact area provided the highest values, with 7/12 signals achieve AUC >0.5. This corresponded with actimetry signals, which provided high discrimination between postures. Parameters estimated from a commercial pressure monitoring can have the potential to detect postural changes. Further research is required to convert the data into meaningful clinical information, to inform patient repositioning strategies.

Text
A sensitivity analysis to evaluate the performance of temporal pressure - related parameters in detecting changes in supine postures - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 7 June 2019
e-pub ahead of print date: 17 June 2019
Published date: July 2019

Identifiers

Local EPrints ID: 432112
URI: http://eprints.soton.ac.uk/id/eprint/432112
ISSN: 1350-4533
PURE UUID: facfe5b3-8ba9-49cb-b62e-d3ec7b368128
ORCID for Silvia Caggiari: ORCID iD orcid.org/0000-0002-8928-2141
ORCID for Peter R. Worsley: ORCID iD orcid.org/0000-0003-0145-5042
ORCID for Dan L. Bader: ORCID iD orcid.org/0000-0002-1208-3507

Catalogue record

Date deposited: 02 Jul 2019 16:30
Last modified: 16 Mar 2024 07:57

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×