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. 2014 Mar 13:11:36.
doi: 10.1186/1743-0003-11-36.

Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review

Dax Steins  1 , Helen Dawes, Patrick Esser, Johnny Collett
Affiliations

Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review

Dax Steins et al. J Neuroeng Rehabil. .

Abstract

Background: Integrating rehabilitation services through wearable systems has the potential to accurately assess the type, intensity, duration, and quality of movement necessary for procuring key outcome measures.

Objectives: This review aims to explore wearable accelerometry-based technology (ABT) capable of assessing mobility-related functional activities intended for rehabilitation purposes in community settings for neurological populations. In this review, we focus on the accuracy of ABT-based methods, types of outcome measures, and the implementation of ABT in non-clinical settings for rehabilitation purposes.

Data sources: Cochrane, PubMed, Web of Knowledge, EMBASE, and IEEE Xplore. The search strategy covered three main areas, namely wearable technology, rehabilitation, and setting.

Study selection: Potentially relevant studies were categorized as systems either evaluating methods or outcome parameters.

Methods: Methodological qualities of studies were assessed by two customized checklists, depending on their categorization and rated independently by three blinded reviewers.

Results: Twelve studies involving ABT met the eligibility criteria, of which three studies were identified as having implemented ABT for rehabilitation purposes in non-clinical settings. From the twelve studies, seven studies achieved high methodological quality scores. These studies were not only capable of assessing the type, quantity, and quality measures of functional activities, but could also distinguish healthy from non-healthy subjects and/or address disease severity levels.

Conclusion: While many studies support ABT's potential for telerehabilitation, few actually utilized it to assess mobility-related functional activities outside laboratory settings. To generate more appropriate outcome measures, there is a clear need to translate research findings and novel methods into practice.

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Figures

Figure 1
Figure 1
Procedure for the study selection and organization.
Figure 2
Figure 2
Flowchart of the results from the literature search.
Figure 3
Figure 3
Piechart of the screening results from the literature search. Studies are divided in: (A) motion-sensing technology to assess functional activities in neurological or non neurological conditions; (B) type of neurological conditions; (C) technology intended for rehabilitation purposes; and (D) type of technology.
See this image and copyright information in PMC

References

    1. Collins PY, Patel V, Joestl SS, March D, Insel TR, Daar AS, Anderson W, Dhansay MA, Phillips A, Shurin S, Walport M, Ewart W, Savill SJ, Bordin IA, Costello EJ, Durkin M, Fairburn C, Glass RI, Hall W, Huang Y, Hyman SE, Jamison K, Kaaya S, Kapur S, Kleinman A, Ogunniyi A, Otero-Ojeda A, Poo MM, Ravindranath V, Sahakian BJ. et al.Grand challenges in global mental health. Nature. 2011;475(7354):27–30. doi: 10.1038/475027a. - DOI - PMC - PubMed
    1. De Groot MH, Phillips SJ, Eskes GA. Fatigue associated with stroke and other neurologic conditions: implications for stroke rehabilitation. Arch Phys Med Rehabil. 2003;84(11):1714–1720. doi: 10.1053/S0003-9993(03)00346-0. - DOI - PubMed
    1. Stolze H, Klebe S, Zechlin C, Baecker C, Friege L, Deuschl G. Falls in frequent neurological diseases–prevalence, risk factors and aetiology. J Neurol. 2004;251(1):79–84. doi: 10.1007/s00415-004-0276-8. - DOI - PubMed
    1. Alexander NB, Goldberg A. Gait disorders: search for multiple causes. Cleve Clin J Med. 2005;72(7):586. doi: 10.3949/ccjm.72.7.586. 589-590, 592-584 passim. - DOI - PubMed
    1. MacDonald BK, Cockerell OC, Sander JW, Shorvon SD. The incidence and lifetime prevalence of neurological disorders in a prospective community-based study in the UK. Brain. 2000;123(Pt 4):665–676. - PubMed

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