基于步态变化的认知衰退阶段的分类,使用部分最小方程差异分析
Kiyoung Kwak1, Emilija Kostic2, Dongwook Kim1,3
1Division of Biomedical Engineering, College of Engineering, Jeonbuk National University, Jeonju-si, Jeollabuk-do, Republic of Korea.
Science progress
|December 20, 2023
概括
步行变化,特别是关节生物力学,随着认知能力下降而发生变化. 这些步态变化可以帮助识别有认知障碍风险的老年人.
科学领域:
- 老年学是一门学科.
- 生物机械工程 生物机械工程
- 神经科学是一个神经科学.
背景情况:
- 认知障碍在老年人群中越来越令人担忧.
- 早期发现认知衰退对于及时干预至关重要.
- 步态分析提供了一种非侵入性方法来评估神经功能.
研究的目的:
- 为了研究不同认知功能的老年人的步态变异性差异.
- 识别关键的步态特征,这些特征会歧视有认知能力下降风险的个体.
- 用部分最小方程差异分析 (PLS-DA) 来进行特征选择.
主要方法:
- 90名居住在社区的老年人 (≥65岁) 被评估认知功能.
- 根据认知分数,参与者被分为三组.
- 在平面行走过程中使用了三维仪器化步态分析.
- 分析了行走变化指标,包括时空,次行走周期和关节动力学/动力学.
- PLS-DA和接收器操作特征 (ROC) 曲线用于特征识别和模型验证.
主要成果:
- 在怀疑痴呆症和其他群体之间观察到 significant 的步态变异性差异,特别是在关节动力学方面.
- 通过PLS-DA识别的关键区分特征包括中间姿势,时刻和部,膝盖和脚关节的力量.
- PLS-DA模型实现了高分类准确性:0.857对于完整的认知,0.710对于减弱的认知,0.857对于疑似痴呆症.
结论:
- 步态的变化,特别是步态下循环和关节生物力学,与认知衰退的进展有关.
- 步态变化的测量显示出潜在的可靠预测指标,用于识别面临认知障碍风险的老年人.
- 仪器步行分析为老年人的运动功能和认知健康之间的关系提供了宝贵的见解.
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