4.0 Article

Exploring the Role of Accelerometers in the Measurement of Real World Upper-Limb Use After Stroke

期刊

BRAIN IMPAIRMENT
卷 17, 期 1, 页码 16-33

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/BrImp.2015.21

关键词

stroke; paresis; accelerometry; wearable sensors; arm; recovery

资金

  1. Heart and Stroke Foundation of Canada
  2. Michael Smith Foundation for Health Research British Columbia
  3. National Health and Medical Research Council of Australia [NHMRC 1088449, NHMRC 1058635]
  4. Michael Smith Foundation for Health Research British Columbia Canada
  5. Canada Research Chairs [950-203318]
  6. Canadian Institutes of Health Research [MOP-137053, MOP-130269]
  7. US National Institutes of Health [R01 HD068290]

向作者/读者索取更多资源

The ultimate goal of upper-limb rehabilitation after stroke is to promote real-world use, that is, use of the paretic upper-limb in everyday activities outside the clinic or laboratory. Although real-world use can be collected through self-report questionnaires, an objective indicator is preferred. Accelerometers are a promising tool. The current paper aims to explore the feasibility of accelerometers to measure upper-limb use after stroke and discuss the translation of this measurement tool into clinical practice. Accelerometers are non-invasive, wearable sensors that measure movement in arbitrary units called activity counts. Research to date indicates that activity counts are a reliable and valid index of upper-limb use. While most accelerometers are unable to distinguish between the type and quality of movements performed, recent advancements have used accelerometry data to produce clinically meaningful information for clinicians, patients, family and care givers. Despite this, widespread uptake in research and clinical environments remains limited. If uptake was enhanced, we could build a deeper understanding of how people with stroke use their arm in real-world environments. In order to facilitate greater uptake, however, there is a need for greater consistency in protocol development, accelerometer application and data interpretation.

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