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使用可穿戴运动传感器辅助脊髓损伤个体的临床步态评估。

Complementing Clinical Gait Assessments of Spinal Cord Injured Individuals using Wearable Movement Sensors.

作者信息

Werner Charlotte, Schneider Sophie, Gassert Roger, Curt Armin, Demko Laszlo

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3142-3145. doi: 10.1109/EMBC44109.2020.9175703.

Abstract

Today's standard clinical practice to assess the walking ability of patients with neurological disorders during rehabilitation is based on simple gait tests such as the six-minute walking test (6MWT). Since the outcome of these tests is the average walking speed only, the aim of this work was to show that the application of movement sensors during a standardized walking test for the population of spinal cord injured (SCI) patients provides additional information on gait quality not directly described by the average speed. Hence, gait features that are related to quantitative and qualitative aspects of gait were extracted from the ankle sensor recordings of 29 SCI subjects and 19 healthy controls performing the 6MWT. The subjects were clustered into groups based on these gait features, and six gait features were selected to demonstrate the key differences between the clusters. The correlation of these features to the outcome of the 6MWT is discussed with their implications on gait quality.

摘要

目前,在康复过程中评估神经功能障碍患者步行能力的标准临床实践是基于简单的步态测试,如六分钟步行测试(6MWT)。由于这些测试的结果仅是平均步行速度,因此本研究的目的是表明,在针对脊髓损伤(SCI)患者群体的标准化步行测试中应用运动传感器,能够提供有关步态质量的额外信息,而这些信息并非由平均速度直接描述。因此,从29名进行6MWT的SCI受试者和19名健康对照者的脚踝传感器记录中提取了与步态的定量和定性方面相关的步态特征。基于这些步态特征将受试者聚类分组,并选择六个步态特征来展示各聚类之间的关键差异。讨论了这些特征与6MWT结果的相关性及其对步态质量的影响。

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