Application of Multi-Dimensional Intelligent Visual Quantitative Assessment System to Evaluate Hand Function Rehabilitation in Stroke Patients

Abstract

Background: Hand dysfunction is one of the main symptoms of stroke patients, but there is still a lack of accurate hand function assessment systems. This study focused on the application of the multi-dimensional intelligent visual quantitative assessment system (MDIVQAS) in the rehabilitation assessment of hand function in stroke patients and evaluate hand function rehabilitation in stroke patients. Methods: Eighty-two patients with stroke and unilateral hand dysfunction were evaluated by MDIVQAS. Cronbach’s Alpha coefficient was used to assess the internal consistency of MDIVQAS; the F-test is used to assess the differences in MDIVQAS for multiple repeated measures. Spearman’s analysis was used to identify correlations of MDIVQAS with other assessment systems. T-tests were used to identify differences in outcomes assessed with MDIVQAS in patients before and after treatment. p< 0.05 were considered significant. Results: (1) Cronbach’s Alpha coefficient of MDIVQAS in evaluating hand’s function >0.9. (2) There was no significant difference between the other repeated measurements, except for thumb rotation in MDIVQAS. (3) MDIVQAS had a significant correlation with other assessment systems (r > 0.5, p < 0.01). (4) There were significant differences in the evaluation of hand function in patients before and after treatment using MDIVQAS. Conclusion: The MDIVQAS system has good reliability and validity in the evaluation of stroke hand function, and it can also better evaluate the treatment effect.

Influencing factors of corticomuscular coherence in stroke patients

“…Statistics indicate that as many as 85% of stroke patients experience upper limb motor deficits ( Cantero-Téllez et al, 2019 ). Moreover, the hand, the most intricate motor organ in the human body, boasts exceptional dexterity, fine motor skills, and heightened sensory and tactile capabilities, and serves a crucial role in daily life ( Du et al, 2022 ). Consequently, researchers have emphasized the upper limb muscles of stroke patients.…”

Automatic rehabilitation assessment method of upper limb motor function based on posture and distribution force

“…The degree of limb impairment is mainly evaluated subjectively through manual measurement of angle and force information by physicians using protractors and dynamometers. The traditional scale-based assessment has been widely accepted in the medical field ( Du et al, 2022 ), but there are still some shortcomings:…”