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
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