Application of multidimensional gait feature fusion algorithm in gait assessment for patients with knee osteoarthritis.

ABSTRACT:

Background

To address the limitation in gait assessment for patients with knee osteoarthritis (KOA) and after total knee arthroplasty (TKA), where it is difficult to simultaneously quantify joint dynamic coordination and movement complexity, a multidimensional gait feature fusion algorithm is proposed.

Methods

Spatial motion data were collected from 70 participants (21 healthy controls, 24 KOA patients, and 25 post-TKA patients) using a 3D motion capture system. Hip-knee cyclograms were constructed to extract morphological features (centroid, range of motion, perimeter, and area) for quantifying dynamic coordination, while sample entropy of hip, knee, and ankle joint angles was calculated to quantify movement complexity. Features were categorized into four input types: fused

SUBMITTER: Tan Y 

PROVIDER: S-EPMC12491203 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature