• DocumentCode
    269895
  • Title

    Accelerometry-Based Berg Balance Scale Score Estimation

  • Author

    Similä, Heidi ; Mantyjarvi, Jani ; Merilahti, Juho ; Lindholm, M. ; Ermes, Markus

  • Author_Institution
    VTT Tech. Res. Centre of Finland, Oulu, Finland
  • Volume
    18
  • Issue
    4
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1114
  • Lastpage
    1121
  • Abstract
    The objective of the study was to investigate the validity of 3-D-accelerometry-based Berg balance scale (BBS) score estimation. In particular, acceleration patterns of BBS tasks and gait were the targets of analysis. Accelerations of the lower back were measured during execution of the BBS test and corridor walking for 54 subjects, consisting of neurological patients, older adults, and healthy young persons. The BBS score was estimated from one to three BBS tasks and from gait-related data, separately, through assessment of the similarity of acceleration patterns between subjects. The work also validated both approaches´ ability to classify subjects into high- and low-fall-risk groups. The gait-based method yielded the best BBS score estimates and the most accurate BBS-task-based estimates were produced with the stand to sit, reaching, and picking object tasks. The proposed gait-based method can identify subjects with high or low risk of falling with an accuracy of 77.8% and 96.6%, respectively, and the BBS-task based method with corresponding accuracy of 89.5% and 62.1%.
  • Keywords
    accelerometers; biomedical measurement; gait analysis; 3D-accelerometry-based Berg balance scale; BBS; acceleration patterns; corridor walking; gait analysis; gait-related data; healthy young persons; high-fall-risk groups; low-fall-risk groups; lower back accelerations; neurological patients; score estimation; Acceleration; Accelerometers; Accuracy; Aging; Biomedical measurement; Estimation; Informatics; Berg balance scale (BBS); fall-risk assessment; gait analysis;
  • fLanguage
    English
  • Journal_Title
    Biomedical and Health Informatics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-2194
  • Type

    jour

  • DOI
    10.1109/JBHI.2013.2288940
  • Filename
    6656894