Literature DB >> 25570617

Does external walking environment affect gait patterns?

Matthew R Patterson, Darragh Whelan, Brenda Reginatto, Niamh Caprani, Lorcan Walsh, Alan F Smeaton, Akihiro Inomata, Brian Caulfield.   

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.

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Year:  2014        PMID: 25570617     DOI: 10.1109/EMBC.2014.6944249

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

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Journal:  Spinal Cord       Date:  2019-04-24       Impact factor: 2.772

2.  Experimental Verification of Micro-Doppler Radar Measurements of Fall-Risk-Related Gait Differences for Community-Dwelling Elderly Adults.

Authors:  Kenshi Saho; Masahiro Fujimoto; Yoshiyuki Kobayashi; Michito Matsumoto
Journal:  Sensors (Basel)       Date:  2022-01-25       Impact factor: 3.576

3.  Development of a Smart Hallway for Marker-Less Human Foot Tracking and Stride Analysis.

Authors:  Vinod Gutta; Pascal Fallavollita; Natalie Baddour; Edward D Lemaire
Journal:  IEEE J Transl Eng Health Med       Date:  2021-03-29       Impact factor: 3.316

4.  Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial.

Authors:  Arne Mueller; Holger Alfons Hoefling; Amir Muaremi; Jens Praestgaard; Lorcan C Walsh; Ola Bunte; Roland Martin Huber; Julian Fürmetz; Alexander Martin Keppler; Matthias Schieker; Wolfgang Böcker; Ronenn Roubenoff; Sophie Brachat; Daniel S Rooks; Ieuan Clay
Journal:  JMIR Mhealth Uhealth       Date:  2019-11-27       Impact factor: 4.773

5.  The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes.

Authors:  Ríona Mc Ardle; Silvia Del Din; Paul Donaghy; Brook Galna; Alan J Thomas; Lynn Rochester
Journal:  Sensors (Basel)       Date:  2021-01-26       Impact factor: 3.576

6.  Whole-Day Gait Monitoring in Patients with Alzheimer's Disease: A Relationship between Attention and Gait Cycle.

Authors:  Maya Higuma; Nobuo Sanjo; Hiroshi Mitoma; Mitsuru Yoneyama; Takanori Yokota
Journal:  J Alzheimers Dis Rep       Date:  2017-04-28

7.  Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk.

Authors:  Christopher Buckley; M Encarna Micó-Amigo; Michael Dunne-Willows; Alan Godfrey; Aodhán Hickey; Sue Lord; Lynn Rochester; Silvia Del Din; Sarah A Moore
Journal:  Sensors (Basel)       Date:  2019-12-19       Impact factor: 3.576

  7 in total

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