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Review
. 2025 Aug 26;17(8):e91030.
doi: 10.7759/cureus.91030. eCollection 2025 Aug.

Integrating Gait Analysis Systems in Clinical Rehabilitation Settings for Individuals With Lower Limb Amputation: A Narrative Review

Affiliations
Review

Integrating Gait Analysis Systems in Clinical Rehabilitation Settings for Individuals With Lower Limb Amputation: A Narrative Review

Xiaoning Yuan et al. Cureus. .

Abstract

A primary goal of rehabilitative care for individuals with lower limb amputation (LLA) is to restore safe, effective gait. Traditional gait analysis, both observational and quantitative, assesses gait deviations in individuals with LLA to inform clinical management. Observational gait analysis performed in clinical settings can be highly subjective, whereas quantitative gait analysis is often costly, time-consuming, and therefore impractical to perform in point-of-care clinical settings. To enhance clinical decision-making for individuals with LLA, it is beneficial to identify commercially available gait analysis systems that can be efficiently and effectively utilized in clinical settings. This narrative review presents categories of commercially available gait analysis systems, their capabilities, and prior implementation for gait analysis of individuals with LLA in clinical settings. Twenty-three articles of commercially available gait analysis systems (instrumented treadmills, instrumented walkways, inertial measurement unit-based, and markerless motion capture (MMC)) for the LLA population were included. This review of clinical applications of commercially available gait analysis systems identifies gaps in current clinical practice and offers recommendations to incorporate point-of-care gait analysis within the prosthetic phase of rehabilitation for individuals with LLA.

Keywords: clinical gait analysis; lower limb amputation; military; prosthetics; rehabilitation.

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Conflict of interest statement

Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: This work was supported by an award from the Advanced Medical Technology Initiative (HU00011920123). Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

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