Using knitted sensor technology to identify gait events during walking

Stephen Preece; Laurence Kenney; Matty Major; Tilak Dias; Edward Lay

Using knitted sensor technology to identify gait events during walking

Stephen Preece^*, Laurence Kenney, Matty Major, Tilak Dias, Edward Lay

^*Corresponding author for this work

Physical Medicine and Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Wearable sensor technology has potential application in a number of areas of rehabilitation medicine. In this study we investigated the performance of a knitted resistive strain sensor, integrated into a sock, during walking. Our results showed that, although there were differences between sensor output and ankle joint angle, a simple algorithm could be used to estimate three gait events: heel strike, toe off and heel lift. This demonstrates the potential for knitted sensor technology to be used in future functional electrical stimulation applications.

Original language	English (US)
Title of host publication	Proceedings of the 7th IASTED International Conference on Biomedical Engineering, BioMED 2010
Pages	25-26
Number of pages	2
Volume	2
State	Published - Dec 1 2010
Event	7th IASTED International Conference on Biomedical Engineering, BioMED 2010 - Innsbruck, Austria Duration: Feb 17 2010 → Feb 19 2010

Other

Other	7th IASTED International Conference on Biomedical Engineering, BioMED 2010
Country/Territory	Austria
City	Innsbruck
Period	2/17/10 → 2/19/10

Keywords

Functional electrical stimulation
Gait event prediction
Knitted sensors

ASJC Scopus subject areas

Biomedical Engineering
Medicine (miscellaneous)

Cite this

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title = "Using knitted sensor technology to identify gait events during walking",

abstract = "Wearable sensor technology has potential application in a number of areas of rehabilitation medicine. In this study we investigated the performance of a knitted resistive strain sensor, integrated into a sock, during walking. Our results showed that, although there were differences between sensor output and ankle joint angle, a simple algorithm could be used to estimate three gait events: heel strike, toe off and heel lift. This demonstrates the potential for knitted sensor technology to be used in future functional electrical stimulation applications.",

keywords = "Functional electrical stimulation, Gait event prediction, Knitted sensors",

author = "Stephen Preece and Laurence Kenney and Matty Major and Tilak Dias and Edward Lay",

year = "2010",

month = dec,

day = "1",

language = "English (US)",

isbn = "9780889868274",

volume = "2",

pages = "25--26",

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note = "7th IASTED International Conference on Biomedical Engineering, BioMED 2010 ; Conference date: 17-02-2010 Through 19-02-2010",

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TY - GEN

T1 - Using knitted sensor technology to identify gait events during walking

AU - Preece, Stephen

AU - Kenney, Laurence

AU - Major, Matty

AU - Dias, Tilak

AU - Lay, Edward

PY - 2010/12/1

Y1 - 2010/12/1

N2 - Wearable sensor technology has potential application in a number of areas of rehabilitation medicine. In this study we investigated the performance of a knitted resistive strain sensor, integrated into a sock, during walking. Our results showed that, although there were differences between sensor output and ankle joint angle, a simple algorithm could be used to estimate three gait events: heel strike, toe off and heel lift. This demonstrates the potential for knitted sensor technology to be used in future functional electrical stimulation applications.

AB - Wearable sensor technology has potential application in a number of areas of rehabilitation medicine. In this study we investigated the performance of a knitted resistive strain sensor, integrated into a sock, during walking. Our results showed that, although there were differences between sensor output and ankle joint angle, a simple algorithm could be used to estimate three gait events: heel strike, toe off and heel lift. This demonstrates the potential for knitted sensor technology to be used in future functional electrical stimulation applications.

KW - Functional electrical stimulation

KW - Gait event prediction

KW - Knitted sensors

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UR - http://www.scopus.com/inward/citedby.url?scp=79953807416&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79953807416

SN - 9780889868274

VL - 2

SP - 25

EP - 26

BT - Proceedings of the 7th IASTED International Conference on Biomedical Engineering, BioMED 2010

T2 - 7th IASTED International Conference on Biomedical Engineering, BioMED 2010

Y2 - 17 February 2010 through 19 February 2010

ER -

Using knitted sensor technology to identify gait events during walking

Abstract

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Keywords

ASJC Scopus subject areas

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Cite this