Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0151012
Title: Reliability of System Identification Techniques to Assess Standing Balance in Healthy Elderly
Authors: Pasma, Jantsje H
Engelhart, Denise
Maier, Andrea B 
Aarts, Ronald GKM
van Gerven, Joop MA
Arendzen, J Hans
Schouten, Alfred C
Meskers, Carel GM
van der Kooij, Herman
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
TEST-RETEST RELIABILITY
SENSORY ORGANIZATION TEST
HUMAN POSTURAL CONTROL
OLDER-ADULTS
PROPRIOCEPTIVE INFORMATION
PRESSURE MEASURES
YOUNG ADULTS
EPIDEMIOLOGY
DISORDERS
POSITION
Issue Date: 8-Mar-2016
Publisher: PUBLIC LIBRARY SCIENCE
Citation: Pasma, Jantsje H, Engelhart, Denise, Maier, Andrea B, Aarts, Ronald GKM, van Gerven, Joop MA, Arendzen, J Hans, Schouten, Alfred C, Meskers, Carel GM, van der Kooij, Herman (2016-03-08). Reliability of System Identification Techniques to Assess Standing Balance in Healthy Elderly. PLOS ONE 11 (3). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0151012
Abstract: Objectives System identification techniques have the potential to assess the contribution of the underlying systems involved in standing balance by applying well-known disturbances. We investigated the reliability of standing balance parameters obtained with multivariate closed loop system identification techniques. Methods In twelve healthy elderly balance tests were performed twice a day during three days. Body sway was measured during two minutes of standing with eyes closed and the Balance test Room (BalRoom) was used to apply four disturbances simultaneously: two sensory disturbances, to the proprioceptive and the visual system, and two mechanical disturbances applied at the leg and trunk segment. Using system identification techniques, sensitivity functions of the sensory disturbances and the neuromuscular controller were estimated. Based on the generalizability theory (G theory), systematic errors and sources of variability were assessed using linear mixed models and reliability was assessed by computing indexes of dependability (ID), standard error of measurement (SEM) and minimal detectable change (MDC). Results A systematic error was found between the first and second trial in the sensitivity functions. No systematic error was found in the neuromuscular controller and body sway. The reliability of 15 of 25 parameters and body sway were moderate to excellent when the results of two trials on three days were averaged. To reach an excellent reliability on one day in 7 out of 25 parameters, it was predicted that at least seven trials must be averaged. Conclusion This study shows that system identification techniques are a promising method to assess the underlying systems involved in standing balance in elderly. However, most of the parameters do not appear to be reliable unless a large number of trials are collected across multiple days. To reach an excellent reliability in one third of the parameters, a training session for participants is needed and at least seven trials of two minutes must be performed on one day.
Source Title: PLOS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/234887
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0151012
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