Multiscale and Shannon entropies during gait as fall risk predictors—A prospective study

Bizovská, Lucia; Svoboda, Zdeněk; Vuillerme, Nicolas; Janura, Miroslav

doi:10.1016/j.gaitpost.2016.11.009

Cited by 23 publications

(25 citation statements)

References 28 publications

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“…After screening, 46 articles were considered eligible for inclusion in this review. Eighteen studies considered research questions focused on the faller-non-faller (F-NF) comparison [27][28][29][30][31][32][33][34][35][36][37][38][39]. Fifteen studies investigated the young-old (YO) comparison [3,6,7,9,38,[40][41][42][43][44][45][46][47][48][49].…”

Section: Resultsmentioning

confidence: 99%

Nonlinear Dynamic Measures of Walking in Healthy Older Adults: A Systematic Scoping Review

Amirpourabasi

Lamb

Chow

et al. 2022

Sensors

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Background: Maintaining a healthy gait into old age is key to preserving the quality of life and reducing the risk of falling. Nonlinear dynamic analyses (NDAs) are a promising method of identifying characteristics of people who are at risk of falling based on their movement patterns. However, there is a range of NDA measures reported in the literature. The aim of this review was to summarise the variety, characteristics and range of the nonlinear dynamic measurements used to distinguish the gait kinematics of healthy older adults and older adults at risk of falling. Methods: Medline Ovid and Web of Science databases were searched. Forty-six papers were included for full-text review. Data extracted included participant and study design characteristics, fall risk assessment tools, analytical protocols and key results. Results: Among all nonlinear dynamic measures, Lyapunov Exponent (LyE) was most common, followed by entropy and then Fouquet Multipliers (FMs) measures. LyE and Multiscale Entropy (MSE) measures distinguished between older and younger adults and fall-prone versus non-fall-prone older adults. FMs were a less sensitive measure for studying changes in older adults’ gait. Methodology and data analysis procedures for estimating nonlinear dynamic measures differed greatly between studies and are a potential source of variability in cross-study comparisons and in generating reference values. Conclusion: Future studies should develop a standard procedure to apply and estimate LyE and entropy to quantify gait characteristics. This will enable the development of reference values in estimating the risk of falling.

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Section: Resultsmentioning

confidence: 99%

Nonlinear Dynamic Measures of Walking in Healthy Older Adults: A Systematic Scoping Review

Amirpourabasi

Lamb

Chow

et al. 2022

Sensors

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“…Postural stability, which can be defined as the ability to keep the body in equilibrium during certain movements, can be measured by observing the excursion of the center of pressure or CoP (de Kam, Kamphuis, Weerdesteyn, & Geurts, 2016;Hertel, Gay, & Denegar, 2002;Kim, Lim, & Yi, 2015;Marinho-Buzelli, Rouhani, Masani, Verrier, & Popovic, 2017;Wikstrom, Fournier, & McKeon, 2010;Zumbrunn, MacWilliams, & Johnson, 2011). Any lack of postural stability can challenge daily activities, which can be seen often among the elderly or patients with neurological disorders (Bizovska, Svoboda, Vuillerme, & Janura, 2017;Michikawa, Nishiwaki, Takebayashi, & Toyama, 2009;Vellas et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Foot Feature Parameters and Postural Stability in Healthy Subjects

et al. 2019

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Objective: Little has been explored about the disparate contribution of medial longitudinal arch (MLA) and lateral longitudinal arch (LLA) to human gait and postural stability. This study aims to investigate the correlation of foot feature parameters including both MLA and LLA with postural stability. Method: Thirteen young and healthy subjects participated in this study. The newly developed FFMS extracted foot feature parameters in nonweight-bearing (NWB) and weight-bearing (WB) conditions along with postural stability parameters in single-leg-standing (SLS) condition. A bivariate correlation analysis was carried out to investigate the correlation between the foot characteristics and the postural stability parameters. Results: The foot length and width showed negative correlation with center of pressure (CoP) distance in medio-lateral (ML) and total direction, whereas the foot length in NWB and WB conditions, and the foot width in WB condition showed positive correlation with CoP distance in anterior-posterior (AP) direction. The height of the LLA curve and the area of the MLA were correlated with the postural stability parameters in AP direction. The ratios of the LLA height and area showed moderate correlation with the CoP distance in ML direction and total direction. Conclusion: The size of a foot, such as the length and width, is correlated with postural stability. Whereas the MLA features are associated with postural stability in AP direction, the LLA features are associated with that in ML and total direction. Application: The findings suggest that the roles and contributions of the MLA and LLA features in and to the postural control are different.

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“…In addition, distinguishing elderly people at risk of falling, or predicting future falls during longitudinal follow-up, has been shown to be effective with classic stabilometric parameters ( 11 , 14 , 124 ). At the same time, automated gait analysis allows the extraction of biomechanical parameters to facilitate early diagnosis of future fallers ( 125 , 126 ). However, too few studies follow elderly people longitudinally with repeated measurements to observe posture degradation.…”

Section: Discussionmentioning

confidence: 99%

Postadychute-AG, Detection, and Prevention of the Risk of Falling Among Elderly People in Nursing Homes: Protocol of a Multicentre and Prospective Intervention Study

Quijoux

Bertin-Hugault²,

Zawieja³

et al. 2021

Front. Digit. Health

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Introduction: While falls among the elderly is a public health issue, because of the social, medical, and economic burden they represent, the tools to predict falls are limited. Posturography has been developed to distinguish fallers from non-fallers, however, there is too little data to show how predictions change as older adults' physical abilities improve. The Postadychute-AG clinical trial aims to evaluate the evolution of posturographic parameters in relation to the improvement of balance through adapted physical activity (APA) programs.Methods: In this prospective, multicentre clinical trial, institutionalized seniors over 65 years of age will be followed for a period of 6 months through computer-assisted posturography and automatic gait analysis. During the entire duration of the follow-up, they will benefit from a monthly measurement of their postural and locomotion capacities through a recording of their static balance and gait thanks to a software developed for this purpose. The data gathered will be correlated with the daily record of falls in the institution. Static and dynamic balance measurements aim to extract biomechanical markers and compare them with functional assessments of motor skills (Berg Balance Scale and Mini Motor Test), expecting their superiority in predicting the number of falls. Participants will be followed for 3 months without APA and 3 months with APA in homogeneous group exercises. An analysis of variance will evaluate the variability of monthly measures of balance in order to record the minimum clinically detectable change (MDC) as participants improve their physical condition through APA.Discussion: Previous studies have stated the MDC through repeated measurements of balance but, to our knowledge, none appear to have implemented monthly measurements of balance and gait. Combined with a reliable measure of the number of falls per person, motor capacities and other precipitating factors, this study aims to provide biomechanical markers predictive of fall risk with their sensitivity to improvement in clinical status over the medium term. This trial could provide the basis for posturographic and gait variable values for these elderly people and provide a solution to distinguish those most at risk to be implemented in current practice in nursing homes.Trial Registration: ID-RCB 2017-A02545-48.Protocol Version: Version 4.2 dated January 8, 2020.

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Multiscale and Shannon entropies during gait as fall risk predictors—A prospective study

Cited by 23 publications

References 28 publications

Nonlinear Dynamic Measures of Walking in Healthy Older Adults: A Systematic Scoping Review

Nonlinear Dynamic Measures of Walking in Healthy Older Adults: A Systematic Scoping Review

The Relationship Between Foot Feature Parameters and Postural Stability in Healthy Subjects

Postadychute-AG, Detection, and Prevention of the Risk of Falling Among Elderly People in Nursing Homes: Protocol of a Multicentre and Prospective Intervention Study

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