Abstract
Stroke is one of the most life-threatening disorders in the global health sector, and survival after stroke with a permanent disorder is the most crucial part of life. Although medical facilities are eminent in developing countries like India, cost-effective solutions and reliability are still major concerns. This investigation is an outcome of implementing customized five different electrotherapeutic devices like pneumatic- and hydraulic-actuated, automated hydropneumatic, motor-actuated glove, and gripper motor-actuated systems for patients undergoing poststroke home-based rehabilitation. The results were derived from advanced multimodal data analytics methodologies which include one-way ANOVA analysis with repeated measures, multivariate correlation analysis, and quantification using Cohen's d method. The experimental trial was subjected to 45 patients undergoing a 10-week home-based rehabilitation using the Fugl–Meyer Assessment for the Upper Extremity (FMA-UE). Both Pearson and Spearman coefficients revealed significant improvements across all the groups (p < 0.01), indicating very strong linear relationships and the Cohen's d method indicated large therapeutic effects with 95% confidence intervals confirming the clinical relevance. The investigation reveals that the developed electrotherapeutic devices shows 30%–40% significant improvements in their daily lifestyle of stroke survival patients. Future objectives would include machine learning and predictive modeling structures for enhanced results.
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