Cargando…
Instrumenting gait with an accelerometer: A system and algorithm examination
Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to the laboratory until relatively recently. The application of an inexpensive body worn sensor with appropriate gait algorith...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Butterworth-Heinemann
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381862/ https://www.ncbi.nlm.nih.gov/pubmed/25749552 http://dx.doi.org/10.1016/j.medengphy.2015.02.003 |
_version_ | 1782364524679004160 |
---|---|
author | Godfrey, A. Del Din, S. Barry, G. Mathers, J.C. Rochester, L. |
author_facet | Godfrey, A. Del Din, S. Barry, G. Mathers, J.C. Rochester, L. |
author_sort | Godfrey, A. |
collection | PubMed |
description | Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to the laboratory until relatively recently. The application of an inexpensive body worn sensor with appropriate gait algorithms (BWM) is an attractive alternative and offers the potential to assess gait in any setting. In this study we investigated the use of a low-cost BWM, compared to laboratory reference using a robust testing protocol in both younger and older adults. We observed that the BWM is a valid tool for estimating total step count and mean spatio-temporal gait characteristics however agreement for variability and asymmetry results was poor. We conducted a detailed investigation to explain the poor agreement between systems and determined it was due to inherent differences between the systems rather than inability of the sensor to measure the gait characteristics. The results highlight caution in the choice of reference system for validation studies. The BWM used in this study has the potential to gather longitudinal (real-world) spatio-temporal gait data that could be readily used in large lifestyle-based intervention studies, but further refinement of the algorithm(s) is required. |
format | Online Article Text |
id | pubmed-4381862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Butterworth-Heinemann |
record_format | MEDLINE/PubMed |
spelling | pubmed-43818622015-04-07 Instrumenting gait with an accelerometer: A system and algorithm examination Godfrey, A. Del Din, S. Barry, G. Mathers, J.C. Rochester, L. Med Eng Phys Article Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to the laboratory until relatively recently. The application of an inexpensive body worn sensor with appropriate gait algorithms (BWM) is an attractive alternative and offers the potential to assess gait in any setting. In this study we investigated the use of a low-cost BWM, compared to laboratory reference using a robust testing protocol in both younger and older adults. We observed that the BWM is a valid tool for estimating total step count and mean spatio-temporal gait characteristics however agreement for variability and asymmetry results was poor. We conducted a detailed investigation to explain the poor agreement between systems and determined it was due to inherent differences between the systems rather than inability of the sensor to measure the gait characteristics. The results highlight caution in the choice of reference system for validation studies. The BWM used in this study has the potential to gather longitudinal (real-world) spatio-temporal gait data that could be readily used in large lifestyle-based intervention studies, but further refinement of the algorithm(s) is required. Butterworth-Heinemann 2015-04 /pmc/articles/PMC4381862/ /pubmed/25749552 http://dx.doi.org/10.1016/j.medengphy.2015.02.003 Text en © The Authors. IPEM. Published by Elsevier Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Godfrey, A. Del Din, S. Barry, G. Mathers, J.C. Rochester, L. Instrumenting gait with an accelerometer: A system and algorithm examination |
title | Instrumenting gait with an accelerometer: A system and algorithm examination |
title_full | Instrumenting gait with an accelerometer: A system and algorithm examination |
title_fullStr | Instrumenting gait with an accelerometer: A system and algorithm examination |
title_full_unstemmed | Instrumenting gait with an accelerometer: A system and algorithm examination |
title_short | Instrumenting gait with an accelerometer: A system and algorithm examination |
title_sort | instrumenting gait with an accelerometer: a system and algorithm examination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381862/ https://www.ncbi.nlm.nih.gov/pubmed/25749552 http://dx.doi.org/10.1016/j.medengphy.2015.02.003 |
work_keys_str_mv | AT godfreya instrumentinggaitwithanaccelerometerasystemandalgorithmexamination AT deldins instrumentinggaitwithanaccelerometerasystemandalgorithmexamination AT barryg instrumentinggaitwithanaccelerometerasystemandalgorithmexamination AT mathersjc instrumentinggaitwithanaccelerometerasystemandalgorithmexamination AT rochesterl instrumentinggaitwithanaccelerometerasystemandalgorithmexamination |