The University of Southampton
University of Southampton Institutional Repository

Intelligent body interface for lower-limb prosthetics

Intelligent body interface for lower-limb prosthetics
Intelligent body interface for lower-limb prosthetics
The interface between the lower limb residuum and prosthetic socket is critical to facilitate effective load transfer, ensure mobility and comfort during activities of daily living. Residua tissue is not biologically accustomed to sustain prolonged exposure to multidirectional loading (pressure and shear). Proper socket fit has long been recognised in the field as essential to ensure comfort and tissue safety. Socket fit during daily activities is often achieved by amputees through use of prosthetic liners and accessories such as socks and pressure pads. However, both pressure and shear exist at the socket interface, whereby the magnitudes and distribution of pressure and shear across the socket interface changes dynamically with motion of the residuum relative to the socket. Ultimately, a well-fitted socket aims to achieve even loading distribution across the interface to reduce local stress concentrations which may lead to discomfort, pain and tissue breakdown. Experimental and computational tools, such as sensor technology and Finite Element Analysis (FEA) have been used as a means of evaluating residuum/socket biomechanics to better inform socket design and fit. However, the harsh microclimate and variations in multidirectional loading experienced by different amputees means understanding of residuum/socket biomechanics is still lacking, particularly at local sites of the residuum (e.g., load-tolerant and sensitive sites). Despite advancements in technology, there is also a lack of intelligent materials to help improve interface stress distribution. To this end, this project involves combined use of computational (i.e., FEA) and experimental tools (i.e., pressure and shear sensors) to assess dynamic interactions at socket interfaces during ambulatory activities. Analyses conducted provided biomechanical insight in response to loading at local anatomical sites, which was subsequently used to develop and study novel mechanical metamaterials for advanced custom liners. It is envisioned that findings generated by this research could potentially aid understanding of socket interface biomechanics, which may facilitate improved rehabilitation outcomes for lower limb amputees.
University of Southampton
Devin, Kirstie
17564d09-f686-4686-a39f-65ce0f4d160b
Devin, Kirstie
17564d09-f686-4686-a39f-65ce0f4d160b
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Hamilton, Andrew
9088cf01-8d7f-45f0-af56-b4784227447c

Devin, Kirstie (2024) Intelligent body interface for lower-limb prosthetics. University of Southampton, Doctoral Thesis, 292pp.

Record type: Thesis (Doctoral)

Abstract

The interface between the lower limb residuum and prosthetic socket is critical to facilitate effective load transfer, ensure mobility and comfort during activities of daily living. Residua tissue is not biologically accustomed to sustain prolonged exposure to multidirectional loading (pressure and shear). Proper socket fit has long been recognised in the field as essential to ensure comfort and tissue safety. Socket fit during daily activities is often achieved by amputees through use of prosthetic liners and accessories such as socks and pressure pads. However, both pressure and shear exist at the socket interface, whereby the magnitudes and distribution of pressure and shear across the socket interface changes dynamically with motion of the residuum relative to the socket. Ultimately, a well-fitted socket aims to achieve even loading distribution across the interface to reduce local stress concentrations which may lead to discomfort, pain and tissue breakdown. Experimental and computational tools, such as sensor technology and Finite Element Analysis (FEA) have been used as a means of evaluating residuum/socket biomechanics to better inform socket design and fit. However, the harsh microclimate and variations in multidirectional loading experienced by different amputees means understanding of residuum/socket biomechanics is still lacking, particularly at local sites of the residuum (e.g., load-tolerant and sensitive sites). Despite advancements in technology, there is also a lack of intelligent materials to help improve interface stress distribution. To this end, this project involves combined use of computational (i.e., FEA) and experimental tools (i.e., pressure and shear sensors) to assess dynamic interactions at socket interfaces during ambulatory activities. Analyses conducted provided biomechanical insight in response to loading at local anatomical sites, which was subsequently used to develop and study novel mechanical metamaterials for advanced custom liners. It is envisioned that findings generated by this research could potentially aid understanding of socket interface biomechanics, which may facilitate improved rehabilitation outcomes for lower limb amputees.

Text
KDevin_IntelligentBodyInterface_Final - Version of Record
Restricted to Repository staff only until 31 May 2027.
Available under License University of Southampton Thesis Licence.
Text
Permission to deposit thesis Devin
Restricted to Repository staff only
Text
Final-thesis-submission-Examination-Miss-Kirstie-Devin (1)
Restricted to Repository staff only

More information

Published date: May 2024

Identifiers

Local EPrints ID: 489756
URI: http://eprints.soton.ac.uk/id/eprint/489756
PURE UUID: c8f22f59-4f8c-411c-8aea-401f31b26fb1
ORCID for Kirstie Devin: ORCID iD orcid.org/0000-0001-6794-2375
ORCID for Liudi Jiang: ORCID iD orcid.org/0000-0002-3400-825X
ORCID for Andrew Hamilton: ORCID iD orcid.org/0000-0003-4627-849X

Catalogue record

Date deposited: 01 May 2024 17:03
Last modified: 02 May 2024 01:56

Export record

Contributors

Author: Kirstie Devin ORCID iD
Thesis advisor: Liudi Jiang ORCID iD
Thesis advisor: Andrew Hamilton ORCID iD

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.

×