Three-Dimensional gait biomechanics in patients with mild knee osteoarthritis.

Journal and index pages often block iframe embedding. This reader keeps the evidence details in Orthonotes and leaves the source page one click away.

Abstract

[Indexed for MEDLINE] Conflict of interest statement: Declarations. Competing interests: The authors declare no competing interests. Ethical approval and consent to participate: The project was approved by the Human Subject Committee of Guangzhou Sport University (NO: 2022LCLL-32). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: Written informed consent was obtained from all participants for the publication of any potentially identifiable data included in this article. 8. Sci Rep. 2024 May 7;14(1):10465. doi: 10.1038/s41598-024-60943-5. Stroke walking and balance characteristics via principal component analysis. Cho J(1), Ha S(2), Lee J(3), Kim M(3), Kim H(4). Author information: (1)Translational Research Centre on Rehabilitation Robots, National Rehabilitation Centre, Ministry of Health & Welfare, Seoul, South Korea. (2)Department of Physical Education, College of Sciences in Education, Yonsei University, Seoul, Korea. (3)Department of Applied Statistics, Chung-Ang University, Seoul, South Korea. (4)Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA. hogenekim@gmail.com. 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. © 2024. The Author(s). DOI: 10.1038/s41598-024-60943-5 PMCID: PMC11076567