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Dataset Information

Real-time biofeedback monitoring rehabilitation of distal radius fracture.


ABSTRACT:

Background

Elderly patients often face challenges in recovering from distal radius fractures (DRFs), and inadequately guided rehabilitation may lead to delayed healing or secondary injury.

Objective

This study aims to develop a system that monitors patients during rehabilitation exercises and provides real-time biofeedback to improve healing outcomes and minimize the risk of secondary injuries.

Method

Volunteers performed a 10-second sequence including relaxation, flexion/extension, radial/ulnar deviation, and fisting. During these exercises, time series data of hand motions and corresponding electromyography (EMG) signals were collected. Musculoskeletal forces and healing outcomes were then computed to build a database for machine learning training and validation. Ad

SUBMITTER: Li L 

PROVIDER: S-EPMC12512404 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature