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Stroke walking and balance characteristics via principal component analysisopen access

Authors
Cho, JieunHa, SungheLee, JooyoungKim, MinseokKim, Hogene
Issue Date
May-2024
Publisher
Nature Research
Keywords
Balance impairment; Gait; Kinematics; Principal component analysis; Stroke
Citation
Scientific Reports, v.14, no.1
Journal Title
Scientific Reports
Volume
14
Number
1
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/73860
DOI
10.1038/s41598-024-60943-5
ISSN
2045-2322
Abstract
Balance impairment is associated gait dysfunction with several quantitative spatiotemporal gait parameters in patients with stroke. However, the link between balance impairments and joint kinematics during walking remains unclear. Clinical assessments and gait measurements using motion analysis system was conducted in 44 stroke patients. This study utilised principal component analysis to identify key joint kinematics characteristics of patients with stroke during walking using average joint angles of pelvis and bilateral lower limbs in every gait-cycle percentile related to balance impairments. Reconstructed kinematics showed the differences in joint kinematics in both paretic and nonparetic lower limbs that can be distinguished by balance impairment, particularly in the sagittal planes during swing phase. The impaired balance group exhibited greater joint variability in both the paretic and nonparetic limbs in the sagittal plane during entire gait phase and during terminal swing phase respectively compared with those with high balance scores. This study provides a more comprehensive understanding of stroke hemiparesis gait patterns and suggests considering both nonparetic and paretic limb function, as well as bilateral coordination in clinical practice. Principal component analysis can be a useful assessment tool to distinguish differences in balance impairment and dynamic symmetry during gait in patients with stroke. © The Author(s) 2024.
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