Background: Gait asymmetry is a common and disabling consequence of stroke, often resulting in reduced mobility and independence. Surface electromyographic (EMG) biofeedback has emerged as a promising tool to enhance motor relearning and improve gait performance by providing real-time visual feedback on muscle activation.

Objective: To evaluate the effect of EMG biofeedback training on gait parameters in individuals with chronic stroke.

Methods: Forty stroke survivors aged 40–60 years were randomly divided into two groups: Group A (EMG biofeedback + conventional circuit gait training) and Group B (conventional training only). Both groups underwent 20 sessions over four weeks. Gait parameters—stride length, step length, stride width, degree of toe-out, and cadence were measured before and after intervention using the clinical footprint method. Data were analysed using SPSS v25, with p > 0.05 considered significant.

Results: Post-intervention, Group A showed significant improvements in stride length, stride width, step length, and degree of toe-out compared to Group B (p < 0.05). Cadence improved in both groups, though not clinically significant.