Literature DB >> 24503180

Early identification of declining balance in higher functioning older adults, an inertial sensor based method.

K J Sheehan1, B R Greene2, C Cunningham3, L Crosby4, R A Kenny5.   

Abstract

Higher functioning older adults rarely have their balance assessed clinically and as such early decline in balance is not captured. Early identification of declining balance would facilitate earlier intervention and improved management of the ageing process. This study sought to determine if (a) a once off inertial sensor measurement and (b) changes in inertial sensor measurements one year apart can identify declining balance for higher functioning older adults. One hundred and nineteen community dwelling older adults (58 males; 72.5±5.8 years) completed a timed up and go (TUG) instrumented with inertial sensors and the Berg balance scale (BBS) at two time points, one year apart. Temporal and spatio-temporal gait parameters as well as angular velocity and turn parameters were derived from the inertial sensor data. A change in balance from baseline to follow-up was determined by sub-components of the BBS. Changes in inertial sensor parameters from baseline to follow-up demonstrated strong association with balance decline in higher functioning older adults (e.g. mean medial-lateral angular velocity odds ratio=0.2; 95% CI: 0.1-0.5). The area under the Receiver operating characteristic curve (AUC) ranged from 0.8 to 0.9, a marked improvement over change in TUG time alone (AUC 0.6-0.7). Baseline inertial sensor parameters had a similar association with declining balance as age and TUG time. For higher functioning older adults, the change in inertial sensor parameters over time may reflect declining balance. These measures may be useful clinically, to monitor the balance status of older adults and facilitate earlier identification of balance deficits.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Balance decline; Berg balance scale; Community dwelling older adults; Inertial sensors; Timed up and go

Mesh:

Year:  2014        PMID: 24503180     DOI: 10.1016/j.gaitpost.2014.01.003

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test.

Authors:  Erin Smith; Caitriona Cunningham; Barry R Greene; Ulrik McCarthy Persson; Catherine Blake
Journal:  Aging Clin Exp Res       Date:  2020-10-23       Impact factor: 3.636

2.  Multivariate Analyses and Classification of Inertial Sensor Data to Identify Aging Effects on the Timed-Up-and-Go Test.

Authors:  Danique Vervoort; Nicolas Vuillerme; Nienke Kosse; Tibor Hortobágyi; Claudine J C Lamoth
Journal:  PLoS One       Date:  2016-06-06       Impact factor: 3.240

3.  Capturing the Cranio-Caudal Signature of a Turn with Inertial Measurement Systems: Methods, Parameters Robustness and Reliability.

Authors:  Karina Lebel; Hung Nguyen; Christian Duval; Réjean Plamondon; Patrick Boissy
Journal:  Front Bioeng Biotechnol       Date:  2017-08-23

Review 4.  A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry.

Authors:  Salvatore Tedesco; John Barton; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2017-06-03       Impact factor: 3.576

  4 in total

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