Gait variability and stability measures: Minimum number of strides and within-session reliability

Riva, Federico; Bisi, Maria Cristina; Stagni, Rita

doi:10.1016/j.compbiomed.2014.04.001

Cited by 118 publications

(96 citation statements)

References 30 publications

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“…Although errors in manual synchronization of recording might have contributed to this, considerable discrepancy in single cases (SARA range 6.5-11) were all from very low speed trials. As gait cycle detection with inertial sensors usually involves definition of peak angular velocity events [20], it seems conceivable that failure may occur with very low velocity gait. It should also be noted, that step detection in GaitRite TM required some degree of manual data preprocessing.…”

Section: Discussionmentioning

confidence: 99%

Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

et al. 2016

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Section: Discussionmentioning

confidence: 99%

Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

et al. 2016

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“…HRml was the only variability index that showed higher stability in elderly subjects than in young adults and can thus be excluded from the well performing indices. The choice among the other variability indices could be performed on the basis of index reliability results [11]: when applied on 10 strides, HR indices showed the highest reliability, thus, HRap an HRv could be the best choice.…”

Section: Discussionmentioning

confidence: 99%

“…sLE3, AvgL_v and MaxL_v results followed the increasing stability of the toddlers with experience. The choice among the well performing stability indices could be performed on the basis of index reliability results [11]: RQA reaches a steady value when calculated over 10 strides thus, AvgL_v and MaxL_v can be preferred to sLE3.…”

Section: Discussionmentioning

confidence: 99%

“…A possible limitation of the present study is the low number of strides analyzed (10), due to both low walking experience and lack of cooperation in toddlers: in literature [11] the minimum number of required strides for each index analyzed in this paper was investigated and results showed that only HR, MSE and RQA reached a steady value when calculated over 10 strides. Thus, a higher number of strides could likely have improved or changed gait stability estimates, in particular for Poincaré Plots and Floquet Multipliers.…”

Section: Discussionmentioning

confidence: 99%

“…For all the participants 10 consecutive strides were analyzed: 14 was the maximum number of strides obtained in the less experienced infants. The potential influence of the available limited number of strides was taken into account depending on the specific index analyzed [11]. …”

Section: Methodsmentioning

confidence: 99%

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Measures of gait stability: performance on adults and toddlers at the beginning of independent walking

Bisi

Riva

Stagni

2014

J NeuroEngineering Rehabil

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BackgroundQuantifying gait stability is a topic of high relevance and a number of possible measures have been proposed. The problem in validating these methods is the necessity to identify a-priori unstable individuals. Since proposed methods do not make any assumption on the characteristics of the subjects, the aim of the present study was to test the performance of gait stability measures on individuals whose gait is a-priori assumed unstable: toddlers at the onset of independent walking.MethodsTen toddlers, ten adults and ten elderly subjects were included in the study. Data from toddlers were acquired longitudinally over a 6-month period to test if the methods detected the increase in gait stability with experience, and if they could differentiate between toddlers and young adults. Data from elderly subjects were expected to indicate a stability value in between the other two groups. Accelerations and angular velocities of the trunk and of the leg were measured using two tri-axial inertial sensors. The following methods for quantifying gait stability were applied: stride time variability, Poincaré plots, harmonic ratio, short term Lyapunov exponents, maximum Floquet multipliers, recurrence quantification analysis and multiscale entropy. An unpaired t-test (level of significance of 5%) was performed on the toddlers and the young adults for each method and, for toddlers, for each evaluated stage of gait development.ResultsMethods for discerning between the toddler and the adult groups were: stride time variability, Poincaré plots, harmonic ratio, short term Lyapunov exponents (state space composed by the three linear accelerations of the trunk), recurrence quantification analysis and multiscale entropy (when applied on the vertical or on the antero-posterior L5 accelerations).ConclusionsResults suggested that harmonic ratio and recurrence quantification analysis better discern gait stability in the analyzed subjects, differentiating not only between unstable toddlers and stable healthy adults, but also evidencing the expected trend of the toddlers towards a higher stability with walking experience, and indicating elderly subjects as stable as or less stable than young adults.Electronic supplementary materialThe online version of this article (doi:10.1186/1743-0003-11-131) contains supplementary material, which is available to authorized users.

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Application of Recurrence Quantifiers to Kinetic and Kinematic Biomechanical Data

Assis

Andrade

Vieira

2022

XXVII Brazilian Congress on Biomedical Engineering

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Gait variability and stability measures: Minimum number of strides and within-session reliability

Cited by 118 publications

References 30 publications

Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

Measures of gait stability: performance on adults and toddlers at the beginning of independent walking

Application of Recurrence Quantifiers to Kinetic and Kinematic Biomechanical Data

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