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

fallers foot gait position principal component analysis swing phase

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2023
Historique:
received: 07 12 2022
accepted: 02 02 2023
entrez: 3 3 2023
pubmed: 4 3 2023
medline: 4 3 2023
Statut: epublish

Résumé

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 (

Identifiants

pubmed: 36865028
doi: 10.3389/fbioe.2023.1117884
pii: 1117884
pmc: PMC9971443
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1117884

Informations de copyright

Copyright © 2023 Inai, Kobayashi, Huang, Fujita, Fujimoto, Nihey, Yamamoto, Nakajima, Nakahara, Kutsuzawa, Fukushi and Kudo.

Déclaration de conflit d'intérêts

Authors CH, FN, KeN, and KF are employed by the company NEC Corporation. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Takuma Inai (T)

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

Yoshiyuki Kobayashi (Y)

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

Chenhui Huang (C)

Biometrics Research Labs, NEC Corporation, Tokyo, Japan.

Koji Fujita (K)

Department of Functional Joint Anatomy, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.

Masahiro Fujimoto (M)

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

Fumiyuki Nihey (F)

Biometrics Research Labs, NEC Corporation, Tokyo, Japan.

Akiko Yamamoto (A)

Department of Orthopaedic and Spinal Surgery, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.

Kanako Nakajima (K)

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

Kentaro Nakahara (K)

Biometrics Research Labs, NEC Corporation, Tokyo, Japan.

Gaku Kutsuzawa (G)

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

Kenichiro Fukushi (K)

Biometrics Research Labs, NEC Corporation, Tokyo, Japan.

Shoma Kudo (S)

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

Classifications MeSH