Variations in Kinematics during Clinical Gait Analysis in Stroke Patients

Boudarham, Julien; Roche, Nicolás; Pradon, Didier; Bonnyaud, Céline; Bensmaïl, Djamel; Zory, Raphaël

doi:10.1371/journal.pone.0066421

Cited by 114 publications

(87 citation statements)

References 54 publications

(65 reference statements)

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“…A 'learning effect' can occur as the patients repeat the assessment. We attempted to limit this by asking patients to carry out a minimum of 10 gait cycles for the gait analysis (Boudarham, 2013) and 3 trials for the TUG test (Podsiadlo, 1991).…”

Section: Limitationsmentioning

confidence: 99%

Gait parameters predicted by Timed Up and Go performance in stroke patients

Bonnyaud

Pradon

Zory

et al. 2015

NRE

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BACKGROUND: The Timed Up and Go (TUG) is a test of functional mobility which is routinely used in the assessment of hemiparetic patients. This easy and rapid to perform test includes motor tasks which occur frequently in daily life (stand up, walk, turn, sit down). Correlations between TUG performance and kinematic and kinetic gait parameters have never been studied. OBJECTIVE: The aim of this study was to determine whether kinematic and kinetic gait parameters would be more related to TUG performance than spatio-temporal parameters in stroke patients. METHODS: Sixty hemiparetic patients able to walk alone performed the TUG test and underwent 3D gait analysis and a clinical evaluation. A stepwise regression analysis was used to select the gait variables that best explained the variability in TUG performance. RESULTS: The percentage of the gait cycle spent in single support phase on the paretic limb was the factor which was the most predictive and correlated with TUG performance, explaining 67% of the variance. No kinematic or kinetic gait parameters explained TUG performance. The results also suggested that TUG performance is mainly related to paretic lower limb motor function. CONCLUSIONS: TUG performance in hemiparetic patients mainly depends on the motor ability of the paretic lower limb, particularly the single support phase on the paretic side. Kinematic and kinetic gait parameters do not predict the TUG performance in stroke patients.

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Section: Limitationsmentioning

confidence: 99%

Gait parameters predicted by Timed Up and Go performance in stroke patients

Bonnyaud

Pradon

Zory

et al. 2015

NRE

Self Cite

View full text Add to dashboard Cite

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“…After a stroke, many individuals experience hemiparesis, which often leads to an impaired walking pattern with altered gait characteristics [1][2][3][4][5][6][7]. Specifically, hemiplegic gait is typically associated with a reduced gait speed [1][2][3]5,8], cadence [2,5,8], and stride length [2,8] and an increased left-right asymmetry during walking [1,3,9] when compared with nondisabled, age-matched controls.…”

Section: Introductionmentioning

confidence: 99%

Reliability and validity of the inertial sensor-based Timed “Up and Go” test in individuals affected by stroke

et al. 2016

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Abstract-The instrumented Timed " Up and Go" test (iTUG) has the potential for playing an important role in providing clinically useful information regarding an individual's balance and mobility that cannot be derived from the original singleoutcome Timed "Up and Go" test protocol. The purpose of this study was to determine the reliability and validity of the iTUG using body-fixed inertial sensors in people affected by stroke. For test-retest reliability analysis, 14 individuals with stroke and 25 nondisabled elderly patients were assessed. For validity analysis, an age-matched comparison of 12 patients with stroke and 12 nondisabled controls was performed. Out of the 14 computed iTUG metrics, the majority showed excellent testretest reliability expressed by high intraclass correlation coefficients (range 0.431-0.994) together with low standard error of measurement and smallest detectable difference values. BlandAltman plots demonstrated good agreement between two repeated measurements. Significant differences between patients with stroke and nondisabled controls were found in 9 of 14 iTUG parameters analyzed. Consequently, these results warrant the future application of the inertial sensor-based iTUG for the assessment of physical deficits poststroke in longitudinal study designs.

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“…Stroke is a common and worldwide cause of long-term disability, and walking was commonly impaired in people with stroke (1,2). Although some people with stroke can walk independently, many walk with compensating strategies that significantly reduce their walking speed and endurance (3,4). Among different walking tests, walking speed has been shown to be the strongest independent predictor of self-reported motor function in people with stroke (5).…”

Section: Introductionmentioning

confidence: 99%