Comprehensive Measurement of Stroke Gait Characteristics With a Single Accelerometer in the Laboratory and Community: a Feasibility, Validity and Reliability Study

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aut.relation.issue1en_NZ
aut.relation.journalJournal of NeuroEngineering and Rehabilitationen_NZ
aut.relation.volume14en_NZ
dark.contributor.authorMoore, SAen_NZ
dark.contributor.authorHickey, Aen_NZ
dark.contributor.authorLord, Sen_NZ
dark.contributor.authorDel Din, Sen_NZ
dark.contributor.authorGodfrey, Aen_NZ
dark.contributor.authorRochester, Len_NZ
dc.date.accessioned2018-12-10T00:08:19Z
dc.date.available2018-12-10T00:08:19Z
dc.date.copyright2017-12-29en_NZ
dc.date.issued2017-12-29en_NZ
dc.description.abstractBackground: Application of objective measurement of stroke gait with accelerometer-based wearable technology and associated algorithms is increasing, despite reports questioning the accuracy of this technique in quantifying specific stroke-related gait impairments. The aim of this study is to determine the feasibility, validity and reliability of a low-cost open-source system incorporating algorithms and a single tri-axial accelerometer-based wearable to quantify gait characteristics in the laboratory and community post-stroke. Methods: Twenty-five participants with stroke wore the wearable (AX3, Axivity) on the lower back during a laboratory 2 minute continuous walk (preferred pace) on two occasions a week apart and continuously in the community for two consecutive 7 day periods. Video, instrumented walkway (GaitRite) and an OPAL accelerometer-based wearable were used as laboratory references. Results: Feasibility of the proposed system was good. The system was valid for measuring step count (ICC 0.899). Inherent differences in gait quantification between algorithm and GaitRite resulted in difficulties comparing agreement between the different systems. Agreement was moderate-excellent (ICC 0.503-0.936) for mean and variability gait characteristics vs. OPAL. Agreement was moderate-poor between the system and OPAL for asymmetry characteristics. Moderate-excellent reliability (ICC 0.534-0.857) was demonstrated for 11/14 laboratory measured gait characteristics. Community test-retest reliability was good-excellent (ICC 0.867-0.983) for all except one (ICC 0.699) of the 19 gait characteristics. Conclusion: The proposed system is a low-cost, reliable tool for quantifying gait post-stroke with multiple potential applications. Further refinement to optimise gait quantification algorithms for certain gait characteristics including gait asymmetry is required.en_NZ
dc.identifier.citationJournal of Neuroengineering and Rehabilitation, 14(1), 130.
dc.identifier.doi10.1186/s12984-017-0341-zen_NZ
dc.identifier.issn1743-0003en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/12106
dc.publisherBioMed Central
dc.relation.urihttps://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-017-0341-z
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectStroke; Gait; Physical activity; Reliability; Validity; Accelerometer
dc.titleComprehensive Measurement of Stroke Gait Characteristics With a Single Accelerometer in the Laboratory and Community: a Feasibility, Validity and Reliability Studyen_NZ
dc.typeJournal Article
pubs.elements-id322835
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Clinical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HH Clinical Sciences 2018 PBRF
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