The Gait Profile Score and Movement Analysis Profile

Baker, Richard; McGinley, Jennifer; Schwartz, Michael H.; Beynon, Sarah; Rozumalski, Adam; Graham, H Kerr; Tirosh, Oren

doi:10.1016/j.gaitpost.2009.05.020

Cited by 558 publications

(502 citation statements)

References 7 publications

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“…GPS was calculated according to the description by Baker et al [10], including the left and right lower limbs. GPS was calculated for each trial and the mean GPS for each patient calculated.…”

Section: Assessment Of Gait Impairmentmentioning

confidence: 99%

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Selective motor control correlates with gait abnormality in children with cerebral palsy

et al. 2017

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Section: Assessment Of Gait Impairmentmentioning

confidence: 99%

“…This study compares SCALE with Gait Profile Score (GPS) [10], an index of how different a person's gait is to a typically developing population.…”

Section: Introductionmentioning

confidence: 99%

Selective motor control correlates with gait abnormality in children with cerebral palsy

et al. 2017

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“…The GPS was calculated from the root mean square difference in gait kinematics for an individual trial and the average kinematic data from children with no gait pathology. 18 Units were recorded in degrees and the larger the GPS, the more abnormal the participant's gait. The GPS was calculated for both legs on at least four individual gait cycles.…”

Section: 2mentioning

confidence: 99%

Stability of the Gross Motor Function Classification System after single‐event multilevel surgery in children with cerebral palsy

Rutz

Tirosh

Thomason

et al. 2012

Develop Med Child Neuro

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ABBREVIATIONS FMSFunctional Mobility Scale GPS Gait Profile Score SEMLS Single-event multilevel surgery AIM There are conflicting reports about the stability of the Gross Motor Function Classification System (GMFCS) in children with cerebral palsy (CP) after orthopaedic surgery. We studied the stability of the GMFCS in children with bilateral spastic CP after single-event multilevel surgery, using the Gait Profile Score (GPS) as the primary outcome measure.METHOD This was a retrospective cohort study of 107 children (46 females, 61 males) with bilateral spastic CP, classified as GMFCS level II or III, who underwent surgery at a single tertiary institution between 1997 and 2008. The mean age at surgery was 10 years 7 months (SD 2y 8mo). The primary outcome measure was the GPS. Changes in GMFCS level were studied at multiple time points before and after intervention.RESULTS Gait dysfunction was partially corrected, with a mean improvement of 28% in the GPS.The GMFCS remained stable and unchanged in 95% of children and improved by one level in 5% of children. The improvement in GPS was three times the minimal clinically important difference. The mean age at final postoperative GPS assessment was 11 years 10 months (SD 2y 10mo) and at final GMFCS assessment was 15 years 7 months (SD 3y 9mo).INTERPRETATION Stability of the GMFCS was confirmed in the majority of children with bilateral spastic CP after single-event multilevel surgery, despite statistically and clinically significant improvements in gait dysfunction and functional mobility. This information is important in realistic goal-setting and in counselling families.The Gross Motor Function Classification System (GMFCS) is a standardized method to classify gross motor function in children with cerebral palsy (CP) from 1 to 18 years of age. 1,2It is a five-level categorical grading system which classifies differences in gross motor function that are meaningful and significant to children with CP and their families.3 Distinctions between GMFCS levels are based on functional limitations with an emphasis on sitting and walking and the need for assistive devices and wheeled mobility. Children may be quickly and easily classified at any given time, such as during a clinic appointment or gait laboratory assessment, by determining which level best corresponds to the child's current gross motor function. A set of age-appropriate descriptive criteria are used and good correlations have been demonstrated between classifications assigned by parents and by health professionals. 1,2,4 Since the original description by Palisano et al. 1 in 1997, the GMFCS has become widely accepted, widely used, and is considered by many to be an essential tool to communicate about gross motor function in CP. 5,6The GMFCS is a valid and reliable classification tool which is expected to be relatively stable over time, with or without intervention. Palisano et al. 3 reported that 73% of 610 children with CP remained at the same GMFCS level at multiple ratings over time , and McCormick et ...

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“…A much simpler method, the Gait Profile Score (GPS) and Movement Analysis Profile (MAP), has been suggested [18]. The MAP is created by taking the root mean square error (RMS) between a reference joint angle curve and the corresponding curve from a subject.…”

Section: Mocap Gait Analysismentioning

confidence: 99%

“…The normality index used for the kinematic data was the GPS and the MAP [18]. However, the mean value was removed from all curves before calculating the score, and foot progression was not used because it was not available in the reference data set.…”

Section: Mocap Gait Analysismentioning

confidence: 99%

Assessment of Gait Symmetry and Gait Normality Using Inertial Sensors: In-Lab and In-Situ Evaluation

Sant'Anna

Wickström

Eklund

et al. 2013

Biomedical Engineering Systems and Technologies

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Abstract. Quantitative gait analysis is a powerful tool for the assessment of a number of physical and cognitive conditions. Unfortunately, the costs involved in providing in-lab 3D kinematic analysis to all patients is prohibitive. Inertial sensors such as accelerometers and gyroscopes may complement in-lab analysis by providing cheaper gait analysis systems that can be deployed anywhere. The present study investigates the use of inertial sensors to quantify gait symmetry and gait normality. The system was evaluated in-lab, against 3D kinematic measurements; and also in-situ, against clinical assessments of hip-replacement patients. Results show that the system not only correlates well with kinematic measurements but it also corroborates various quantitative and qualitative measures of recovery and health status of hip-replacement patients.

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The Gait Profile Score and Movement Analysis Profile

Cited by 558 publications

References 7 publications

Selective motor control correlates with gait abnormality in children with cerebral palsy

Selective motor control correlates with gait abnormality in children with cerebral palsy

Stability of the Gross Motor Function Classification System after single‐event multilevel surgery in children with cerebral palsy

Assessment of Gait Symmetry and Gait Normality Using Inertial Sensors: In-Lab and In-Situ Evaluation

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