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%.
Original language | English |
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Pages (from-to) | 1114-1121 |
Journal | IEEE Journal of Biomedical and Health Informatics |
Volume | 18 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2014 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Berg balance scale
- fall-risk assessment
- gait analysis
- biomedical measurements
- accelerometers