An automated, electronic assessment tool can accurately classify older adult postural stability

Journal article


Johnson, Liam, Fry, Adam, Dehbandi, Behdad, Rubin, Lawrence, Halem, Michael, Barachant, Alexandre, Smeragliuolo, Anna H. and Putrino, David. (2019) An automated, electronic assessment tool can accurately classify older adult postural stability. Journal of Biomechanics. 93, pp. 6 - 10. https://doi.org/10.1016/j.jbiomech.2019.06.001
AuthorsJohnson, Liam, Fry, Adam, Dehbandi, Behdad, Rubin, Lawrence, Halem, Michael, Barachant, Alexandre, Smeragliuolo, Anna H. and Putrino, David
Abstract

Current methods of balance assessment in the clinical environment are often subjective, time-consuming and lack clinical relevance for non-ambulatory older adults. The objective of this study was to develop a novel method of balance assessment that utilizes data collected using the Microsoft Kinect 2 to create a Berg Balance Scale score, which is completely determined by statistical methods rather than by human evaluators. 74 older adults, both healthy and balance impaired, were recruited for this trial. All participants completed the Berg Balance Scale (BBS) which was scored independently by trained physical therapists. Participants then completed the items of the “Modified Berg Balance Scale” in front of the Microsoft Kinect camera. Kinematic data collected during this measurement was used to train a feed-forward neural network that was used to assign a Berg Balance Scale score. The neural network model estimated the clinician-assigned BBS score to within a median of 0.93 points for the participants in our sample population (range: 0.02–5.69). Using low-cost depth sensing camera technology and a clinical protocol that takes less than 5 min to complete in both ambulatory and non-ambulatory older adults, the method outlined in this manuscript can accurately predict a participant’s BBS score and thereby identify whether they are deemed a high fall risk or not. If implemented correctly, this could enable fall prevention services to be deployed in a timely fashion using low-cost, accessible technology, resulting in improved safety of older adults.

KeywordsPostural instability; Older adults; Microsoft Kinect 2; Berg Balance Scale
Year2019
JournalJournal of Biomechanics
Journal citation93, pp. 6 - 10
PublisherElsevier
ISSN0021-9290
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jbiomech.2019.06.001
Scopus EID2-s2.0-85067237738
Open accessOpen access
Page range6 - 10
Research GroupSports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre
Author's accepted manuscript
Place of publicationUnited Kingdom
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