Objective measurement of sitting – Application in children with cerebral palsy

Eek, Meta Nyström; Blomkvist, Annika; Olsson, Kristina; Lindh, Karin; Himmelmann, Kate

doi:10.1016/j.gaitpost.2022.05.039

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…Additionally, the choice between 2D and 3D kinematics affects equipment requirements, with 3D analysis often requiring multiple cameras compared to 2D analyses [55][56][57] . The efficacy of using 2D kinematics in gait analysis has already shown promise in conditions such as spastic tertraparesis [58] , cerebral palsy [59] , and cancer survivors [60] . Moreover, 2D kinematicsbased gait signatures, such as from gait videos, may still enable characterization of gait dynamics in diverse cohorts when 3D motion capture is not feasible [61][62][63] .…”

Section: Discussionmentioning

confidence: 99%

Gait signature changes with walking speed are similar among able-bodied young adults despite persistent individual-specific differences

Winner,

Rosenberg,

Berman

et al. 2024

Preprint

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Understanding individuals' distinct movement patterns is crucial for health, rehabilitation, and sports. Recently, we developed a machine learning-based framework to show that "gait signatures" describing the neuromechanical dynamics governing able-bodied and post-stroke gait kinematics remain individual-specific across speeds. However, we only evaluated gait signatures within a limited speed range and number of participants, using only sagittal plane (i.e., 2D) joint angles. Here we characterized changes in gait signatures across a wide range of speeds, from very slow (0.3 m/s) to exceptionally fast (above the walk-to-run transition speed) in 17 able-bodied young adults. We further assessed whether 3D kinematic and/or kinetic (ground reaction forces, joint moments, and powers) data would improve the discrimination of gait signatures. Our study showed that gait signatures remained individual-specific across walking speeds: Notably, 3D kinematic signatures achieved exceptional accuracy (99.8%, confidence interval (CI): 99.1-100%) in classifying individuals, surpassing both 2D kinematics and 3D kinetics. Moreover, participants exhibited consistent, predictable linear changes in their gait signatures across the entire speed range. These changes were associated with participants′ preferred walking speeds, balance ability, cadence, and step length. These findings support gait signatures as a tool to characterize individual differences in gait and predict speed-induced changes in gait dynamics.

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Section: Discussionmentioning

confidence: 99%

Gait signature changes with walking speed are similar among able-bodied young adults despite persistent individual-specific differences

Winner,

Rosenberg,

Berman

et al. 2024

Preprint

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“…Attention is drawn to the importance of postural control and sitting posture in children with CP, and emphasis is placed on the development of these factors 4,5 . Posture and sitting problems, which are common in CP, can adversely affect mobility while sitting, upper extremity development, functional ability, and satisfaction and performance of activities of daily living 6 …”

Section: Introductionmentioning

confidence: 99%

“…4,5 Posture and sitting problems, which are common in CP, can adversely affect mobility while sitting, upper extremity development, functional ability, and satisfaction and performance of activities of daily living. 6 Evaluation of sitting position in disabled children is a critical issue. 7 These individuals often experience limitations in activities of daily living due to the postural control that is affected.…”

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confidence: 99%

Validity and reliability of the Sitting Assessment Scale in cerebral palsy

Gözaçan Karabulut,

Numanoğlu Akbaş

2024

Evaluation Clinical Practice

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AimThe aim of this study was to examine the validity and reliability of the Sitting Assessment Scale (SAS) in individuals with cerebral palsy (CP).MethodsThe study included 34 individuals with a diagnosis of spastic CP. Individuals were evaluated with the Gross Motor Function Classification System and the Manual Ability Classification System. SAS and Trunk Control Measurement Scale (TCMS) were applied to the participants. The intraclass correlation coefficient (ICC) was calculated to determine the intraobserver and interobserver reliability of the scale scored by three different physiotherapists at two different time intervals. Internal consistency was calculated with Cronbach's ⍺ coefficient. The fit between SAS and TCMS for criterion‐dependent validity was evaluated using Pearson Correlation Analysis.ResultsAccording to the GMFCS level, 79.41% of the children were mildly (Level I‐II), 14.71% were moderately affected (level III), and 5.88% were severely affected (level IV). Intra > observer and interobserver reliability values of SAS were extremely high (ICCinterrater > 0.923, ICCintrarater > 0.930). It was observed that the internal consistency of SAS had high values (Cronbach ⍺test > 0.822, Cronbach ⍺retest > 0.804). For the criterion‐dependent reliability; positive medium correlations found between SAS with Total TCMS Static Sitting Balance (r = 0.579, p < 0.001), with TCMS Selective Movement Control (r = 0.597, p < 0.001), with TCMS Dynamic Reaching (r = 0.609, p < 0.001), and with TCMS Total (r = 0.619, p < 0.001).ConclusionSAS was found to have high validity and reliability in children with CP. In addition, the test–retest reliability of the scale was also high. SAS is a practical tool that can be used to assess sitting balance in children with CP.

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