Improvement of the gait deviation index for spinal cord injury to broaden its applicability: the reduced gait deviation index for spinal cord injury (rSCI-GDI)

The reduced SCI-GDI (rSCI-GDI) effectively represents gait variability of adults with SCI as does the SCI-GDI, while providing more generalizable results and equivalent or stronger correlations with clinical tests validated in the population. During the derivation of the improved index, it was demonstrated that pelvic movements, hip rotation, and foot progression angle introduce high variability to the dataset of gait patterns of the adult population with SCI, but they have low relevance to characterize gait kinematics of this population. The rSCI-GDI can be calculated using the 14-feature vectorial basis included in the electronic addendum provided.

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Publication Details

Journal
Frontiers in Bioengineering and Biotechnology
Published
2024-10-02
DOI
https://doi.org/10.3389/fbioe.2024.1431596
Citations
2
Primary Topic
Cerebral Palsy and Movement Disorders
Type
article
Field-Weighted Citation Impact
0.77

Funders

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article

Improvement of the gait deviation index for spinal cord injury to broaden its applicability: the reduced gait deviation index for spinal cord injury (rSCI-GDI)

Diana Herrera-Valenzuela, Isabel Sinovas-Alonso, Antonio J. del‐Ama, Ángel Gil-Agudo et al.
2 citations
Frontiers in Bioengineering and Biotechnology
Cerebral Palsy and Movement Disorders
0.77
article

Improvement of the gait deviation index for spinal cord injury to broaden its applicability: the reduced gait deviation index for spinal cord injury (rSCI-GDI)

Diana Herrera-Valenzuela, Isabel Sinovas-Alonso, Antonio J. del‐Ama, Ángel Gil-Agudo, Ana de los Reyes
article en
2 citations

Abstract

The reduced SCI-GDI (rSCI-GDI) effectively represents gait variability of adults with SCI as does the SCI-GDI, while providing more generalizable results and equivalent or stronger correlations with clinical tests validated in the population. During the derivation of the improved index, it was demonstrated that pelvic movements, hip rotation, and foot progression angle introduce high variability to the dataset of gait patterns of the adult population with SCI, but they have low relevance to characterize gait kinematics of this population. The rSCI-GDI can be calculated using the 14-feature vectorial basis included in the electronic addendum provided.

Frontiers in Bioengineering and BiotechnologyVol. 12
Universidad Rey Juan Carlos (ES), Biomechanics Institute of Valencia (ES), Hospital Nacional de Parapléjicos (ES)
Ministerio de Ciencia e Innovación, European Regional Development Fund, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 26%
Cerebral Palsy and Movement Disorders
0.77
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