Literature DB >> 21454078

The GDI-Kinetic: a new index for quantifying kinetic deviations from normal gait.

Adam Rozumalski1, Michael H Schwartz.   

Abstract

This article introduces a new index, the GDI-Kinetic; a direct analog of the GDI based on joint kinetics rather than kinematics. The method consists of: (1) identifying "features" of the raw gait kinetic data using singular value decomposition, (2) identifying a subset of features that account for a large percentage of the information in the raw gait kinetic data, (3) expressing the raw data from a group of typically developing children as a linear combination of these features, (4) expressing a subject's raw data as a linear combination of these features, (5) calculating the magnitude of the difference between the subject and the mean of the control, and (6) scaling and transforming the difference, in order to provide a simple, and statistically well-behaved, measure. Linear combinations of the first 20 gait features produced a 91% faithful reconstruction of the data. Concurrent and face validity for the GDI-Kinetic are presented through comparisons with the GDI, Gillette Functional Assessment Questionnaire Walking Scale (FAQ), and topographic classifications within the diagnosis of Cerebral Palsy (CP). The GDI-Kinetic and GDI are linearly related but not strongly correlated (r(2)=0.24). Like the GDI, the GDI-Kinetic scales with FAQ level, distinguishes levels from one another, and is normally distributed across FAQ levels six to ten, and among typically developing children. The GDI-Kinetic also scales with respect to clinical involvement based on topographic CP classification in Hemiplegia types I-IV, Diplegia, Triplegia, and Quadriplegia. The GDI-Kinetic complements the GDI in order to give a more comprehensive measure of gait pathology.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21454078     DOI: 10.1016/j.gaitpost.2011.02.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  12 in total

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Review 2.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

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4.  A new strength assessment to evaluate the association between muscle weakness and gait pathology in children with cerebral palsy.

Authors:  Marije Goudriaan; Angela Nieuwenhuys; Simon-Henri Schless; Nathalie Goemans; Guy Molenaers; Kaat Desloovere
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

5.  The Multifeature Gait Score: An accurate way to assess gait quality.

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Journal:  PLoS One       Date:  2017-10-19       Impact factor: 3.240

6.  Deficits in functional performance and gait one year after total knee arthroplasty despite improved self-reported function.

Authors:  Josefine E Naili; Maura D Iversen; Anna-Clara Esbjörnsson; Margareta Hedström; Michael H Schwartz; Charlotte K Häger; Eva W Broström
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7.  Estimating the effect size of surgery to improve walking in children with cerebral palsy from retrospective observational clinical data.

Authors:  Apoorva Rajagopal; Łukasz Kidziński; Alec S McGlaughlin; Jennifer L Hicks; Scott L Delp; Michael H Schwartz
Journal:  Sci Rep       Date:  2018-11-05       Impact factor: 4.379

8.  Changes of and interrelationships between performance-based function and gait and patient-reported function 1 year after total hip arthroplasty.

Authors:  Josefine E Naili; Margareta Hedström; Eva W Broström
Journal:  J Orthop Traumatol       Date:  2019-03-11

9.  Gait in 5-year-old children with idiopathic clubfoot: A cohort study of 59 children, focusing on foot involvement and the contralateral foot.

Authors:  Elin Lööf; Hanneke Andriesse; Marie André; Stephanie Böhm; Eva W Broström
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10.  Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics.

Authors:  Tyagi Ramakrishnan; Christina-Anne Lahiff; Kyle B Reed
Journal:  Front Neurorobot       Date:  2018-02-13       Impact factor: 2.650

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