A three-dimensional gait analysis system is currently widely employed as a clinical tool for determining kinematic values in musculoskeletal illnesses. Osteoarthritis is a degenerative illness that first affects the articular cartilages and then progresses to the bones and joints. More often involved are load-bearing joints such as hip and knee. Types of osteoarthritis includes primary and secondary osteoarthritis depending on the cause. Gait patterns and variables are altered in individuals with osteoarthritis. In osteoarthritis individuals, 3d gait analysis is commonly used to evaluate time and distance variables of gait. Advanced electronic systems uses infrared (IRR) cameras linked to a computer to acquire kinematic data including gait speed, stride length, and joint angles, which are used to create kinematic patterns when walking. In terms of identifying the mechanisms that produce gait disturbance and understanding compensatory gait methods, these measurements appear to be relevant in OA. Kinematic data could also be used in clinical trials to assess the efficacy of OA therapies. Various intrinsic and extrinsic factors has an influence in measurement of variables. The purpose of this review is to identify the effectiveness of 3d system in evaluating kinematics in osteoarthritis patients. To find out the changes in different kinematic variables.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.