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Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders
With the emergence of affordable, clinical-orientated gait analysis techniques, clinicians may benefit from a general understanding of quantitative gait analysis procedures and their clinical applications. This article provides an overview of the potential of a quantitative gait analysis for decisio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718186/ https://www.ncbi.nlm.nih.gov/pubmed/32462346 http://dx.doi.org/10.1007/s00415-020-09901-5 |
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author | Schniepp, Roman Möhwald, Ken Wuehr, Max |
author_facet | Schniepp, Roman Möhwald, Ken Wuehr, Max |
author_sort | Schniepp, Roman |
collection | PubMed |
description | With the emergence of affordable, clinical-orientated gait analysis techniques, clinicians may benefit from a general understanding of quantitative gait analysis procedures and their clinical applications. This article provides an overview of the potential of a quantitative gait analysis for decision support in three clinically relevant scenarios of early stage gait disorders: scenario I: gait ataxia and unsteadiness; scenario II: hypokinesia and slow gait; scenario III: apparently normal gait with a specific fall tendency in complex mobility situations. In a first part, we justify the advantages of standardized data collection and analysis procedures including data normalization and dimensionality reduction techniques that facilitate clinical interpretability of instrument-based gait profiles. We then outline typical patterns of pathological gait and their modulation during different walking conditions (variation of speed, sensory perturbation, and dual tasking) and highlight key aspects that are particularly helpful to support and guide clinical decision-making. |
format | Online Article Text |
id | pubmed-7718186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77181862020-12-11 Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders Schniepp, Roman Möhwald, Ken Wuehr, Max J Neurol Review With the emergence of affordable, clinical-orientated gait analysis techniques, clinicians may benefit from a general understanding of quantitative gait analysis procedures and their clinical applications. This article provides an overview of the potential of a quantitative gait analysis for decision support in three clinically relevant scenarios of early stage gait disorders: scenario I: gait ataxia and unsteadiness; scenario II: hypokinesia and slow gait; scenario III: apparently normal gait with a specific fall tendency in complex mobility situations. In a first part, we justify the advantages of standardized data collection and analysis procedures including data normalization and dimensionality reduction techniques that facilitate clinical interpretability of instrument-based gait profiles. We then outline typical patterns of pathological gait and their modulation during different walking conditions (variation of speed, sensory perturbation, and dual tasking) and highlight key aspects that are particularly helpful to support and guide clinical decision-making. Springer Berlin Heidelberg 2020-05-27 2020 /pmc/articles/PMC7718186/ /pubmed/32462346 http://dx.doi.org/10.1007/s00415-020-09901-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Schniepp, Roman Möhwald, Ken Wuehr, Max Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
title | Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
title_full | Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
title_fullStr | Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
title_full_unstemmed | Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
title_short | Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
title_sort | key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718186/ https://www.ncbi.nlm.nih.gov/pubmed/32462346 http://dx.doi.org/10.1007/s00415-020-09901-5 |
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