• DocumentCode
    3604240
  • Title

    New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians

  • Author

    Brodie, Matthew A. ; Kejia Wang ; Delbaere, Kim ; Persiani, Michela ; Lovell, Nigel H. ; Redmond, Stephen J. ; Del Rosario, Michael B. ; Lord, Stephen R.

  • Author_Institution
    Neurosci. Res. Australia, Univ. of New South Wales, Sydney, NSW, Australia
  • Volume
    62
  • Issue
    11
  • fYear
    2015
  • Firstpage
    2595
  • Lastpage
    2601
  • Abstract
    Goals: To investigate if the stair negotiation by older people during activities of daily life (ADL) can be accurately identified using a freely worn pendant device. To investigate how usual stair-ascent performances during ADL relate to clinical assessments and prospective falls. Methods: ADL were recorded for 30 min by 52 community-dwelling older people (83 ± 4 years) using a small pendant device. Classification accuracy was assessed using annotated video and four-fold cross validation. Correlations between sensor-derived stair-ascent features (comprising intensity, variability, and stability) and a battery of clinical tests (comprising physiological, psychological, health, and follow-up falls) were investigated. Results: Accurate identification of stair events (99.8%, Kappa 0.92) was possible in both “frail” and “athletic” participants by scaling the barometer threshold to stair cadences. Cautious double-stepping strategy could be identified remotely. Stair-ascent performance was correlated with ascent strategy (r = -0.67), age (r = -0.44), concern about falling (r = -0.43), fall-risk scores (r = -0.41), processing speed (r = -0.38), and contrast sensitivity (r = 0.32). Follow-up falls were correlated with ascent stability (r = -0.35). Conclusion: Remote analysis of stair ascents is feasible. In our healthy older people, outcomes appeared more related to mental rather than physiological factors. The ascent strategies we observed in some older people may have reflected an appropriate behavioral response to increased concerns about falling. Significance: Given acceptance of wearable devices is increasing; reduced functional performance and altered strategies for undertaking ADL could soon be routinely tracked to augment health care.
  • Keywords
    body sensor networks; gait analysis; geriatrics; patient monitoring; activities of daily life; annotated video; classification accuracy; four-fold cross validation; octogenarians; older people; sensor-derived stair-ascent features; stair event identification; stair-ascent performances; wearable pendant device; Acceleration; Biomedical monitoring; Legged locomotion; Performance evaluation; Rails; Sensitivity; Stability analysis; Accelerometers; accident; activity; aged; avoidance; behavior; classification; climb; concern; daily life; device; falls; fear; gait; healthy; identification; monitoring; older; pendant; people; processing speed; remote; response; risk; sensor; stairs; strategy; variability; walking; wearable;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2015.2464689
  • Filename
    7180317