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  5. Does external walking environment affect gait patterns?
 
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Does external walking environment affect gait patterns?

Author(s)
Patterson, Matthew  
Whelan, Darragh  
Reginatto, Brenda  
Caprani, Niamh  
Caulfield, Brian  
et al.  
Uri
http://hdl.handle.net/10197/8672
Date Issued
2014-08-30
Date Available
2017-07-26T09:06:14Z
Abstract
The objective of this work is to develop an understanding of the relationship between mobility metrics obtained outside of the clinic or laboratory and the context of the external environment. Ten subjects walked with an inertial sensor on each shank and a wearable camera around their neck. They were taken on a thirty minute walk in which they mobilized over the following conditions; normal path, busy hallway, rough ground, blind folded and on a hill. Stride time, stride time variability, stance time and peak shank rotation rate during swing were calculated using previously published algorithms. Stride time was significantly different between several of the conditions. Technological advances mean that gait variables can now be captured as patients go about their daily lives. The results of this study show that the external environment has a significant impact on the quality of gait metrics. Thus, context of external walking environment is an important consideration when analyzing ambulatory gait metrics from the unsupervised home and community setting.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
IEEE
Copyright (Published Version)
2014 IEEE
Subjects

Personal sensing

Inertial systems

Gait analyisis

DOI
10.1109/EMBC.2014.6944249
Language
English
Status of Item
Peer reviewed
Conference Details
2014 36th Annual International Conference of the IEEE Engineerings in Medicine and Biology Society, Chicago, Illinois, USA, 26-30 August 2014
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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EMBC14 Patterson Camera Ready.pdf

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Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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