Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study

Abstract

BACKGROUND/OBJECTIVES: Spasticity commonly occurs in individuals after experiencing a stroke, impairing their hand function and limiting activities of daily living (ADLs). In this paper, we introduce an exoskeletal aid, combined with a set of augmented reality (AR) games consisting of the Rehabotics rehabilitation solution, designed for individuals with upper limb spasticity following stroke. METHODS: Our study, involving 60 post-stroke patients (mean ± SD age: 70.97 ± 4.89 years), demonstrates significant improvements in Ashworth Scale (AS) scores and Box and Block test (BBT) scores when the Rehabotics solution is employed. RESULTS: The intervention group showed slightly greater improvement compared to the control group in terms of the AS (-0.23, with a confidence interval of -0.53 to 0.07) and BBT (1.67, with a confidence interval of 1.18 to 2.16). Additionally, the Rehabotics solution was particularly effective for patients with more severe deficits. Patients with an AS score of 3 showed more substantial improvements, with their AS scores increasing by -1.17 ± 0.39 and BBT scores increasing by -4.83 ± 0.72. CONCLUSIONS: These findings underscore the potential of wearable hand robotics in enhancing stroke survivors' hand rehabilitation, emphasizing the need for further investigations into its broader applications.