Background: During gait, the swing limb requires flexible control to adapt to ever changing environmental circumstances. However, few studies have focused on the mechanics of swing limb control in patients with knee osteoarthritis (OA). Investigating the variability of swing limb kinematics, which can be represented by variables such as the peak shank angular velocity during the swing phase obtained from an inertial sensor, provides insights into the adaptability of swing limb control. The purpose of this study was to investigate how patients with knee OA control the swing limb and whether the degree of impairment and disability due to knee OA affects swing limb control.
Methods: Twelve subjects diagnosed with knee OA and 11 healthy control subjects participated in this study. Subjects walked on a treadmill for 10min. The mean, coefficient of variation, and fractal scaling exponent α of the peak shank angular velocity during the swing phase were calculated.
Findings: There were no significant differences between the groups for any of the kinematic parameters. The Knee Injury and Osteoarthritis Outcome Score (KOOS) activities of daily living (ADL) subsection correlated with the coefficient of variation (r=-0.677, p=0.016) and the scaling exponent α (r=0.604, p=0.037) of the peak shank angular velocity.
Interpretation: Control of the swing limb was associated with the degree of impairment and disability. Larger and more random variability of peak shank angular velocity may indicate decreased ADL ability in patients with knee OA.
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http://dx.doi.org/10.1016/j.gaitpost.2017.06.017 | DOI Listing |
PLoS One
January 2025
Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Knee exoskeletons have been developed to assist, stabilize, or improve human movement or recovery. However, exoskeleton designers must implement transparency (i.e.
View Article and Find Full Text PDFProsthet Orthot Int
January 2025
Department of Physical Therapy, University of Miami Miller School of Medicine, Coral Gables, FL, USA.
Background: Walking speed is a measure of functional mobility that is relatively easy to quantify. In people with lower limb amputation, reduced walking speed has been linked with specific atypical spatiotemporal gait parameters. However, the influence of atypical spatiotemporal gait parameters on the walking speed of people with unilateral transtibial amputation (TTA) and transfemoral amputation (TFA) remains unclear.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
The analysis of running gait has conventionally taken place within an expensive and restricted laboratory space, with wearable technology offering a practical, cost-effective, and unobtrusive way to examine running gait in more natural environments. This pilot study presents a wearable inertial measurement unit (IMU) setup for the continuous analysis of running gait during an outdoor parkrun (i.e.
View Article and Find Full Text PDFJpn J Compr Rehabil Sci
December 2024
Department of Rehabilitation Medicine, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Unlabelled: Yamaguchi A, Kanazawa Y, Hirano S, Aoyagi Y. A Case with Left Hemiplegia after Cerebral Infarction with Improved Walking Ability Through Robot-assisted Gait Training Combined with Neuromuscular Electrical Stimulation for Foot Drop. Jpn J Compr Rehabil Sci 2024; 15: 88-93.
View Article and Find Full Text PDFJ Orthop Sci
January 2025
Department of Orthopaedic Surgery, Wakayama Medical University, 811-1 Kimiidera, Wakayama City, Wakayama, 641-8509, Japan.
Background: A walking support orthosis known as the e-foot®, a rubber orthotic worn from the hip to the forefoot to enhance joint flexibility and movement, has been developed to assist elderly people and individuals with walking impairments. Despite its widespread acceptance and positive reception in some care settings, the precise impact of this device on gait dynamics remains unexplored. This study aims to bridge this gap by comparing the walking speeds of healthy volunteers using the e-foot® against their normal walking speeds.
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