Experimental Data and Analysis for Restoring Limb Awareness Using sEMG-Driven Haptic Feedback in Post-Stroke Proprioceptive Loss

This dataset contains experimental results from a clinical study evaluating an sEMG-driven haptic feedback system for proprioceptive rehabilitation in stroke survivors. The data includes five sequential trials testing system latency (N=39 trials), angle matching accuracy in healthy participants with simulated impairment (N=10), drift compensation during sustained holding (N=5), angle matching in chronic stroke patients (N=3), and Fugl-Meyer sensory assessments (N=3). Key findings demonstrate 319ms mean system latency, 57% error reduction in healthy participants, 37% improvement in stroke survivors, 61% drift reduction, and clinically significant Fugl-Meyer score improvements (+1.33 points). All data are provided in CSV format with summary statistics, p-values, and effect sizes. The dataset supports research in sensory substitution, stroke rehabilitation, wearable assistive technologies, and haptic feedback systems. Results validate immediate proprioceptive augmentation without training, offering a low-cost alternative to conventional rehabilitation approaches for the estimated 2-3 million Americans with chronic proprioceptive deficits.