The Gait Variability Index: A new way to quantify fluctuation magnitude of spatiotemporal parameters during gait

Gouelle, Arnaud; Mégrot, Fabrice; Presedo, Ana; Husson, Isabelle; Yelnik, A.; Penneçot, Georges-François

doi:10.1016/j.gaitpost.2013.01.013

Cited by 90 publications

(114 citation statements)

References 28 publications

Supporting

Mentioning

109

Contrasting

Order By: Relevance

“…One study analyzed the gait pattern of children and adolescents with FA and reported significantly slower gait velocity, reduced cadence and shorter stride length compared with healthy children [9]. Further, significantly greater variability of spatiotemporal gait parameters have been reported in [12][13][14][15][16][17][18][19][20][21][22][23][24][25] year olds with FA compared with healthy individuals [10]. However, these investigators did not differentiate gait patterns between adolescents and young adults with FA [10].…”

Section: Introductionmentioning

confidence: 99%

“…However, dynamic balance in people with FA has not been thoroughly studied. Although correlations between FA gait parameters and clinical rating scale scores have been reported [9,10,14], it is not known whether decline in gait function is related to impairment in dynamic balance in people with FA. The young and early middle adult years tend to be very active; yet, adults with FA experience a significant decline in their daily activities, especially in walking.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Gait and balance in adults with Friedreich's ataxia

et al. 2015

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gait and balance in adults with Friedreich's ataxia

et al. 2015

View full text Add to dashboard Cite

“…In this way, PCA is used to unveil the relationship between each variable and the global nasal airway variability. 28 …”

Section: Methodsmentioning

confidence: 99%

The nasal septum deviation index (NSDI) based on CBCT data

Codari¹,

Zago²,

Guidugli³

et al. 2016

Dentomaxillofacial Radiology

View full text Add to dashboard Cite

Objective: To assess whether three-dimensional morphometric parameters could be useful in nasal septal deviation (NSD) diagnosis and, secondarily, whether CBCT could be considered an adequate imaging technique for the proposed task. Methods: We analysed images of 46 subjects who underwent CBCT for reasons not related to this study. Two experienced operators divided all the images into healthy and NSD subjects. Subsequently, the images were segmented using ITK Snap in order to obtain the three-dimensional model of the nasal airways and compute four morphological parameters: septal deviation angle (SDA), percentage of volume difference between right and left side of the nasal airways, nasal airway total volume and a new synthetic septal deviation index (SDI). Principal component analysis (PCA) was used to unveil relationships between each variable and the global nasal airway variability. Results: Differences between the groups were found in SDA (p , 0.001), in volume percentage difference (p , 0.05) and in SDI (p , 0.001). PCA showed high correlation between the SDI and the first principal component (0.97, p , 0.001). Conclusions: Among the analysed parameters, SDI seemed to be the most suitable for the quantitative assessment of NSD, and CBCT allowed accurate assessment of airway morphology.

show abstract

“…found for persons with Down syndrome [2], Parkinson disease [4,12,22], hemiparesis [15], multiple sclerosis [17,[19][20][21]23], Friedreich ataxia [1], and elderly fallers [11]. Use of a dual task paradigm [21][22] and backward walking [4][5] also reduces the score.…”

Section: Validity and Reliabilitymentioning

confidence: 99%

“…In order to integrate data and provide a single numerical representation of gait, different scores and indexes have been developed, each emphasizing different aspects. For example, a conglomerate measure based on nine STPs called the Gait Variability Index has been proposed recently to quantify gait variability [1]. An older measure, the Functional Ambulation Performance Score (FAPS) focuses on functional aspects of gait and represents a quantification of patients' gait based on a selection of mean STPs obtained at a self-selected speed [2].…”

Section: Introductionmentioning

confidence: 99%

Use of Functional Ambulation Performance Score as measurement of gait ability: Review

Gouelle¹

2014

J Rehabil Res Dev

Self Cite

View full text Add to dashboard Cite

Abstract-Gait analysis systems are widely used for the assessment of gait disabilities and provide more accurate and detailed information than clinical tests. Scores and indexes have been proposed to summarize the large volume of data produced, each emphasizing different aspects of gait. Based on specific spatiotemporal gait parameters, the Functional Ambulation Performance Score (FAPS) quantifies gait at a selfselected speed. Integrated within electronic walkways, the FAPS is commonly used for clinical evaluations and has been used in an increasing number of publications over the past few years. However, its use is sometimes distorted by misunderstandings of its composition and calculation, practical and/or conceptual limits, and even the meaning of the score. This technical report reviews the use of the FAPS for the evaluation of gait based on peer-reviewed articles and clinical experience and addresses important issues that must be considered for an optimal unbiased understanding and analysis of the score.

show abstract

The Gait Variability Index: A new way to quantify fluctuation magnitude of spatiotemporal parameters during gait

Cited by 90 publications

References 28 publications

Gait and balance in adults with Friedreich's ataxia

Gait and balance in adults with Friedreich's ataxia

The nasal septum deviation index (NSDI) based on CBCT data

Use of Functional Ambulation Performance Score as measurement of gait ability: Review

Contact Info

Product

Resources

About