Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

BACKGROUND

Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively assess patients' motor function and guide their rehabilitation training. Our study aims to verify the clinical efficacy of the virtual reality training system in improving upper limb motor dysfunction in poststroke patients.

METHODS/DESIGN: This study will be a single-center, single-blind, randomized controlled clinical study. Fifty eligible patients will be randomized in a 1:1 ratio into a virtual reality training group (VR) and a conventional upper extremity treatment (CT) group. The intervention will be performed five times per week for 4 weeks. The primary outcome will be the Fugl-Meyer Motor Function Assessment-Upper Extremity (FMA-UE), and the secondary effects will be kinematic and electromyographic assessments. Adverse events will be recorded, and serious adverse events will be used as criteria for discontinuation of the intervention.

DISCUSSION

A stroke upper limb motor function assessment and virtual reality rehabilitation training system based on the FTHUE scale can achieve a close link between intelligent assessment and treatment of upper limb motor function in poststroke patients while integrating the design concepts of the upper limb and hand assessment and treatment, which can theoretically improve upper limb function in stroke to a greater extent, but further high-quality studies are needed. The results of this trial will determine whether an assessment and training system based on the FTHUE scale can improve upper extremity motor dysfunction after stroke.

TRIAL REGISTRATION

Chinese Clinical Trial Registration Center, ChiCTR2200060214. Registered May 22, 2022. Manuscript Version: 2.0 Manuscript Date: May 2, 2025.