Cargando…
Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite
BACKGROUND: Measurement of temporal-spatial gait variables is common in aging research with several methods available. This study investigated the differences in temporal-spatial gait outcomes derived from two different programs for processing instrumented walkway data. METHOD: Data were collected w...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150969/ https://www.ncbi.nlm.nih.gov/pubmed/25134621 http://dx.doi.org/10.1186/1756-0500-7-542 |
_version_ | 1782332975676915712 |
---|---|
author | Egerton, Thorlene Thingstad, Pernille Helbostad, Jorunn L |
author_facet | Egerton, Thorlene Thingstad, Pernille Helbostad, Jorunn L |
author_sort | Egerton, Thorlene |
collection | PubMed |
description | BACKGROUND: Measurement of temporal-spatial gait variables is common in aging research with several methods available. This study investigated the differences in temporal-spatial gait outcomes derived from two different programs for processing instrumented walkway data. METHOD: Data were collected with GAITRite® hardware from 86 healthy older people and 44 older people four months following surgical repair of hip fracture. Temporal-spatial variables were derived using both GAITRite® and PKmas® processing programs from the same raw footfall data. RESULTS: The mean differences between the two programs for most variables were negligible, including for Speed (mean difference 0.3 ± 0.6 cm/sec, or 0.3% of the mean GAITRite® Speed). The mean absolute percentage difference for all 18 gait variables examined ranged from 0.04% for Stride Duration to 66% for Foot Angle. The ICCs were almost perfect (≥0.99) for all variables apart from Base Width, Foot Angle, Stride Length Variability, Step Length Variability, Step Duration Variability and Step Width Variability, which were all never-the-less above 0.84. There were systematic differences for Base Width (PKmas® values 1.6 cm lower than GAITRite®) and Foot Angle (PKMAS® values 0.7° higher than GAITRite®). The differences can be explained by the differences in definitions and calculations between the programs. CONCLUSIONS: The study demonstrated that for most variables the outcomes from both programs can be used interchangeably for evaluation of gait among older people collected with GAITRite® hardware. However, validity and reliability for Base Width and Foot Angle derived by PKMAS® would benefit from further investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-542) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4150969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41509692014-09-03 Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite Egerton, Thorlene Thingstad, Pernille Helbostad, Jorunn L BMC Res Notes Research Article BACKGROUND: Measurement of temporal-spatial gait variables is common in aging research with several methods available. This study investigated the differences in temporal-spatial gait outcomes derived from two different programs for processing instrumented walkway data. METHOD: Data were collected with GAITRite® hardware from 86 healthy older people and 44 older people four months following surgical repair of hip fracture. Temporal-spatial variables were derived using both GAITRite® and PKmas® processing programs from the same raw footfall data. RESULTS: The mean differences between the two programs for most variables were negligible, including for Speed (mean difference 0.3 ± 0.6 cm/sec, or 0.3% of the mean GAITRite® Speed). The mean absolute percentage difference for all 18 gait variables examined ranged from 0.04% for Stride Duration to 66% for Foot Angle. The ICCs were almost perfect (≥0.99) for all variables apart from Base Width, Foot Angle, Stride Length Variability, Step Length Variability, Step Duration Variability and Step Width Variability, which were all never-the-less above 0.84. There were systematic differences for Base Width (PKmas® values 1.6 cm lower than GAITRite®) and Foot Angle (PKMAS® values 0.7° higher than GAITRite®). The differences can be explained by the differences in definitions and calculations between the programs. CONCLUSIONS: The study demonstrated that for most variables the outcomes from both programs can be used interchangeably for evaluation of gait among older people collected with GAITRite® hardware. However, validity and reliability for Base Width and Foot Angle derived by PKMAS® would benefit from further investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-542) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-18 /pmc/articles/PMC4150969/ /pubmed/25134621 http://dx.doi.org/10.1186/1756-0500-7-542 Text en © Egerton et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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. |
spellingShingle | Research Article Egerton, Thorlene Thingstad, Pernille Helbostad, Jorunn L Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite |
title | Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite |
title_full | Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite |
title_fullStr | Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite |
title_full_unstemmed | Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite |
title_short | Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite |
title_sort | comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: pkmas versus gaitrite |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150969/ https://www.ncbi.nlm.nih.gov/pubmed/25134621 http://dx.doi.org/10.1186/1756-0500-7-542 |
work_keys_str_mv | AT egertonthorlene comparisonofprogramsfordeterminingtemporalspatialgaitvariablesfrominstrumentedwalkwaydatapkmasversusgaitrite AT thingstadpernille comparisonofprogramsfordeterminingtemporalspatialgaitvariablesfrominstrumentedwalkwaydatapkmasversusgaitrite AT helbostadjorunnl comparisonofprogramsfordeterminingtemporalspatialgaitvariablesfrominstrumentedwalkwaydatapkmasversusgaitrite |