Abstract
Fall risk assessment research has largely been focused on individual biomechanical measures or assessment in clinical setting. The goal of the study was to evaluate the fall risk from the inertial sensor data from activities of daily living (ADL) based on the inter-limb coordination assessment. Eight older adults with higher risk of falling and eight adults with no risk of falling were monitored for one week with hip and wrist sensor node. A one-way analysis of variance and 95% confidence interval were applied to investigate associations between extracted temporal inter-limb coordination measures for these two groups. Results have shown significantly higher asymmetry in lower limbs and between contralateral arm and leg for subjects with higher risk of falling, allowing us to reliably distinguish these two groups.
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The work leading to this invention has received funding from the European Community’s Seventh Framework Programme FP7/2012 under grant agreement no. 316 639.
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Pozaic, T., Grebe, AK., Grollmuss, M., Haeberlen, N., Stork, W. (2019). Inter-limb Coordination Assessment and Fall Risk in ADL. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_1
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DOI: https://doi.org/10.1007/978-981-10-4505-9_1
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