Effect of functional electrical stimulation-based mirror therapy using gesture recognition biofeedback on upper extremity function in patients with chronic stroke: A randomized controlled trial

Abstract

Background: Mirror therapy (MT) is an intervention used for upper extremity rehabilitation in stroke patients and has been studied in various fields. Recently, effective MT methods have been introduced in combination with neuromuscular electrical stimulation or with electromyography (EMG)-triggered biofeedback. The purpose of this study was to investigate the effects of functional electrical stimulation (FES)-based MT incorporating a motion recognition biofeedback device on upper extremity motor recovery to chronic stroke patients. Methods: Twenty-six chronic stroke patients with onset of more than 6 months were randomly assigned into experimental group (n = 13) and control group (n = 13). Both groups participated in conventional rehabilitation program, while the control group received conventional MT intervention and the experimental group received FES-based MT with motion recognition biofeedback device. All interventions were conducted for 30 min/d, 5 d/wk, for 4 weeks. Upper limb motor recovery, upper limb function, active-range of motion (ROM), and activities of daily living independence were measured before and after the intervention and compared between the 2 groups. Results: The Fugl-Meyer assessment (FMA), manual function test (MFT), K-MBI, and active-ROM (excluding deviation) were significantly improved in both groups (P < .05). Only the experimental group showed significant improvement in upper extremity recovery, ulnar and radial deviation (P < .05). There was a significant difference of change in Brunstrom’s recovery level, FMA, MFT, and active-ROM in the experimental group compared to the control group (P < .05). Conclusion: FES-based MT using gesture recognition biofeedback is an effective intervention method for improving upper extremity motor recovery and function, active-ROM in patients with chronic stroke. This study suggests that incorporating gesture-recognition biofeedback into FES-based MT can provide additional benefits to patients with chronic stroke.