title: Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review.
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.
  
  
  OBJECTIVE
  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.
  
  
  METHODS
  Cochrane, PubMed, Web of Knowledge, EMBASE, and IEEE Xplore. The search strategy covered three main areas, namely wearable technology, rehabilitation, and setting.
  
  
  METHODS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Movement Science Group, Oxford Brookes University, Oxford, UK. dax.steins-2011@brookes.ac.uk.
authors.forename: Dax
authors.initials: D
authors.lastname: Steins
authors.forename: Helen
authors.initials: H
authors.lastname: Dawes
authors.forename: Patrick
authors.initials: P
authors.lastname: Esser
authors.forename: Johnny
authors.initials: J
authors.lastname: Collett
mesh_terms: D061725:Accelerometry / Q000295:instrumentation*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009422:Nervous System Diseases / Q000534:rehabilitation*; D017216:Telemedicine / Q000295:instrumentation*