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Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders.
Journal of Neurology ( IF 4.8 ) Pub Date : 2020-05-27 , DOI: 10.1007/s00415-020-09901-5
Roman Schniepp 1, 2 , Ken Möhwald 1, 2 , Max Wuehr 2
Affiliation  

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.



中文翻译:

诊断步态失调患者动态不稳定性的三类症状的关键步态发现。

随着负担得起的,面向临床的步态分析技术的出现,临床医生可能会受益于对定量步态分析程序及其临床应用的一般理解。本文概述了在早期步态障碍的三种临床相关情况下进行定量步态分析对决策支持的潜力:方案I:步态共济失调和不稳定;情景二:运动不足和步态缓慢;方案三:在复杂的移动情况下,步态明显正常,有特定的跌倒趋势。在第一部分中,我们证明了标准化数据收集和分析程序的优势,包括数据归一化和降维技术,这些技术可促进基于器械的步态图的临床解释。

更新日期:2020-05-27
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