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Dataset Information

Using deep networks for knee range of motion monitoring in total knee arthroplasty rehabilitation.


ABSTRACT:

Background

Knee range of motion (ROM) is a key indicator of rehabilitation after total knee arthroplasty (TKA). Current tools, such as visual and protractor measurements, are cumbersome, imprecise, and require professional training, limiting their use in community or home settings. With the rise of smart healthcare, there is a need for a simple, accurate, and low-cost ROM assessment method that reduces healthcare burdens, enables home self-monitoring, and improves rehabilitation outcomes.

Methods

A total of 1,103 knee images were collected from 1,790 patients who had undergone TKA. The images were classified into four categories: standard flexion, substandard flexion, standard extension, and substandard extension and six categories: 0°, 25°, 50°, 75°, 100°, and 125°. The ima

SUBMITTER: Zhang YX 

PROVIDER: S-EPMC12673327 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature