Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review.

Accelerometers provide an opportunity to expand standing balance assessments outside of the laboratory. The purpose of this narrative review is to show that accelerometers are accurate, objective, and accessible tools for balance assessment. Accelerometry has been validated against current gold stan...

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Publicado en:Aging Clinical & Experimental Research Vol. 35; no. 10; pp. 1991 - 2008
Autores principales: Bohlke, Kayla, Redfern, Mark S., Rosso, Andrea L., Sejdic, Ervin
Formato: pictorial review tables/charts Journal Article
Publicado: Springer Nature Oct2023
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review.
      aug:
        au:
          Bohlke, Kayla
          Redfern, Mark S.
          Rosso, Andrea L.
          Sejdic, Ervin
        affil: https://ror.org/01an3r305 Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 4200 Fifth Ave, 15260, Pittsburgh, PA, USA
      sug:
        subj:
          Accelerometry
          Standing
          Balance, Postural In Old Age
          Physical Mobility
          Parkinson Disease
          Multiple Sclerosis
          Brain Injuries
          Aged
          Accidental Falls
          Aged: 65+ years
      ab: Accelerometers provide an opportunity to expand standing balance assessments outside of the laboratory. The purpose of this narrative review is to show that accelerometers are accurate, objective, and accessible tools for balance assessment. Accelerometry has been validated against current gold standard technology, such as optical motion capture systems and force plates. Many studies have been conducted to show how accelerometers can be useful for clinical examinations. Recent studies have begun to apply classification algorithms to accelerometry balance measures to discriminate populations at risk for falls. In addition to healthy older adults, accelerometry can monitor balance in patient populations such as Parkinson's disease, multiple sclerosis, and traumatic brain injury. The lack of software packages or easy-to-use applications have hindered the shift into the clinical space. Lack of consensus on outcome metrics has also slowed the clinical adoption of accelerometer-based balance assessments. Future studies should focus on metrics that are most helpful to evaluate balance in specific populations and protocols that are clinically efficacious.
      pubtype: Academic Journal
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        review
        tables/charts
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      ougenre: Article
    language: English
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