Abstract
Fall accidents among elderly are costly for the society.
Gait and balance are reported to reflect best the risk of
falling. We recorded gait and balance properties of 15
patients with neurological disease, 20 elderly and 19
young adults. During the Berg Balance Scale test and walk
test we collected kinetic data with wearable 3D
accelerometers. Results showed significant differences
between different subject groups in features calculated
from the accelerometer signals. We found that
accelerometer signals collected during the walk test
could be used to discriminate between subject groups
divided according to their Berg Balance Scale score.
Original language | English |
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Pages (from-to) | 164-164 |
Number of pages | 1 |
Journal | Gerontechnology |
Volume | 7 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2008 |
MoE publication type | Not Eligible |
Event | 6th International Conference of the International Society for Gerontechnology, ISG08 - Pisa, Italy Duration: 4 Jun 2008 → 6 Jun 2008 |