Application of Multi-Dimensional Intelligent Visual Quantitative Assessment System to Evaluate Hand Function...

Area of Science:

• Rehabilitation Medicine
• Neurology
• Biomedical Engineering

Background:

• Stroke frequently causes hand dysfunction, necessitating accurate assessment tools.
• Existing hand function assessment systems lack precision for stroke patients.
• The multi-dimensional intelligent visual quantitative assessment system (MDIVQAS) was developed to address this gap.

Purpose of the Study:

• To evaluate the reliability and validity of the MDIVQAS for assessing hand function in stroke patients.
• To determine the system's efficacy in tracking hand function rehabilitation progress.
• To assess the system's ability to measure treatment effects on hand function recovery.

Main Methods:

• Eighty-two stroke patients with unilateral hand dysfunction were assessed using MDIVQAS.
• Internal consistency was measured using Cronbach's Alpha.
• Test-retest reliability was assessed using F-tests; correlations with other systems via Spearman's analysis; pre- and post-treatment differences using t-tests.

Main Results:

• MDIVQAS demonstrated high internal consistency (Cronbach's Alpha > 0.9).
• The system showed good reliability across repeated measures, with minor exceptions (thumb rotation).
• MDIVQAS correlated significantly with established assessment systems (r > 0.5, p < 0.01) and showed significant pre- vs. post-treatment improvements.

Conclusions:

• The MDIVQAS exhibits strong reliability and validity for evaluating hand function in stroke patients.
• The system is effective in quantifying hand function changes during rehabilitation.
• MDIVQAS serves as a valuable tool for assessing the effectiveness of interventions for stroke-related hand dysfunction.