4.4 Article

Instrumenting gait with an accelerometer: A system and algorithm examination

期刊

MEDICAL ENGINEERING & PHYSICS
卷 37, 期 4, 页码 400-407

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.medengphy.2015.02.003

关键词

Accelerometer; Validation; Gait; Algorithm; Healthy ageing

资金

  1. Lifelong Health and Wellbeing (LLHW) initiative
  2. Biotechnology and Biological Sciences Research Council
  3. Engineering and Physical Sciences Research Council
  4. Economic and Social Research Council
  5. Medical Research Council
  6. Chief Scientist Office of the Scottish Government Health Directorates
  7. National Institute for Health Research (NIHR)/The Department of Health
  8. Health and Social Care Research AMP
  9. Development of the Public Health Agency (Northern Ireland)
  10. Wales Office of Research and Development for Health and Social Care
  11. Welsh Assembly Government [G0900686]
  12. National Institute for Health Research (NIHR) Newcastle Biomedical Research Centre and Unit based at Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University
  13. European Union [FP7: 278169]
  14. MRC [G0900686, MR/K006312/1] Funding Source: UKRI
  15. Medical Research Council [MR/K006312/1, G0900686] Funding Source: researchfish

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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. (C) 2015 The Authors. Published by Elsevier Ltd on behalf of IPEM.

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