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使用主成分分析识别跌倒者摆动阶段足部位置和角度的特征。

Identification of characteristics of foot position and angle during swing phase in fallers using principal component analysis.

作者信息

Inai Takuma, Kobayashi Yoshiyuki, Huang Chenhui, Fujita Koji, Fujimoto Masahiro, Nihey Fumiyuki, Yamamoto Akiko, Nakajima Kanako, Nakahara Kentaro, Kutsuzawa Gaku, Fukushi Kenichiro, Kudo Shoma

机构信息

QOL and Materials Research Group, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.

Exercise Motivation and Physical Function Augmentation Research Team, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.

出版信息

Front Bioeng Biotechnol. 2023 Feb 14;11:1117884. doi: 10.3389/fbioe.2023.1117884. eCollection 2023.

Abstract

Identifying the characteristics of fallers is important for preventing falls because such events may reduce quality of life. It has been reported that several variables related to foot positions and angles during gait (e.g., sagittal foot angle and minimum toe clearance) differ between fallers and non-fallers. However, examining such representative discrete variables may not be sufficient to detect crucial information, which may be contained in the large portions of unanalyzed data. Therefore, we aimed to identify the comprehensive characteristics of foot position and angle during the swing phase of gait in non-fallers and fallers using principal component analysis (PCA). Thirty non-fallers and 30 fallers were recruited for this study. We performed PCA to reduce the dimensions of foot positions and angles during the swing phase and obtained principal component scores (PCSs) for each principal component vector (PCV), which were then compared between groups. The results revealed that the PCS of PCV3 in fallers was significantly larger than that in non-fallers ( = 0.003, Cohen's d = 0.80). We reconstructed waveforms of foot positions and angles during the swing phase using PCV3 and our main findings can be summarized as follows. Compared to non-fallers, fallers have a 1) low average foot position in the -axis (i.e., height) during the initial swing phase 2) small average foot angle in the -axis (i.e., rotation in the sagittal plane), during the initial swing phase, and 3) large variability in foot position in the -axis (i.e., anterior/posterior position) during the initial swing phase. We can conclude that these are characteristics of gait related to fallers. Therefore, our findings may be beneficial for evaluating fall risk during gait using a device such as a shoe- or insole-embedded inertial measurement unit.

摘要

识别跌倒者的特征对于预防跌倒很重要,因为此类事件可能会降低生活质量。据报道,步态期间与足部位置和角度相关的几个变量(例如矢状足角和最小脚趾间隙)在跌倒者和非跌倒者之间存在差异。然而,检查此类具有代表性的离散变量可能不足以检测出关键信息,这些信息可能包含在大部分未分析的数据中。因此,我们旨在使用主成分分析(PCA)来识别非跌倒者和跌倒者在步态摆动期的足部位置和角度的综合特征。本研究招募了30名非跌倒者和30名跌倒者。我们进行主成分分析以降低摆动期足部位置和角度的维度,并获得每个主成分向量(PCV)的主成分得分(PCS),然后在组间进行比较。结果显示,跌倒者中PCV3的PCS显著高于非跌倒者( = 0.003,科恩d值 = 0.80)。我们使用PCV3重建了摆动期足部位置和角度的波形,我们的主要发现可总结如下。与非跌倒者相比,跌倒者在初始摆动期1)在y轴(即高度)上的平均足部位置较低,2)在初始摆动期在x轴上的平均足部角度较小(即矢状面内的旋转),以及3)在初始摆动期在x轴上的足部位置变化较大(即前后位置)。我们可以得出结论,这些是与跌倒者相关的步态特征。因此,我们的研究结果可能有助于使用诸如嵌入鞋或鞋垫的惯性测量单元等设备评估步态期间的跌倒风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d032/9971443/4e70a7afeb3f/fbioe-11-1117884-g001.jpg

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