A comparative feasibility analysis for sensing swelling with textile-based soft strain sensors

Alireza Golgouneh, Md Tahmidul Islam Molla, Lucy E. Dunne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Sensing edema or swelling in the body is a parameter of interest for many clinical and cosmetic applications of wearable technology. Edema creates heightened sensitivity to pressure points, making soft textile-based sensors particularly attractive. However, swelling induces slow, gradual changes in body circumferences, which can be difficult to sense accurately, especially with soft e-textile sensors. Anthropometric variability, sensor placement, and body movements further confound accuracy. Here, we explore the feasibility of accurately sensing ankle swelling through a comparative assessment of a set of sensors representing 3 soft sensing mechanisms in a linear-strain bench test under three frequency conditions. These sensors are then applied in a simulated swelling experiment to assess their performance relative to circumferential changes similar to those experienced in swelling. We find that two sensors (stitched and capacitive) demonstrate reliable performance that approximates or exceeds expert human measurement for swelling. Resistive polymer cord and capacitive sensors exhibited accurate response under medium- and high-frequency extensions.

Original languageEnglish (US)
Title of host publicationISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages60-65
Number of pages6
ISBN (Electronic)9781450368704
DOIs
StatePublished - Sep 9 2019
Event23rd International Symposium on Wearable Computers, ISWC 2019 - London, United Kingdom
Duration: Sep 9 2019Sep 13 2019

Publication series

NameProceedings - International Symposium on Wearable Computers, ISWC
ISSN (Print)1550-4816

Conference

Conference23rd International Symposium on Wearable Computers, ISWC 2019
CountryUnited Kingdom
CityLondon
Period9/9/199/13/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

  • E-textiles
  • Smart clothing
  • Strain sensing
  • Swelling

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