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Published on: August 15, 2016
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Effect of functional electrical stimulation-based mirror therapy using gesture recognition biofeedback on upper
Young-Soung Kim1, Jun-Young Song1, Sam-Ho Park2
1Department of Physical Therapy, Graduate School, Daejeon University, Daejeon, Republic of Korea.
Medicine
|January 11, 2024
Summary
Functional electrical stimulation (FES)-based mirror therapy (MT) with motion recognition biofeedback significantly improved upper extremity motor recovery and function in chronic stroke patients. This advanced MT approach offers additional benefits for patients with chronic stroke.
Area of Science:
- Neurorehabilitation
- Biomedical Engineering
- Physical Therapy
Background:
- Mirror therapy (MT) is a recognized upper extremity rehabilitation technique for stroke survivors.
- Recent advancements combine MT with neuromuscular electrical stimulation or EMG-triggered biofeedback.
- Investigating novel MT approaches is crucial for enhancing motor recovery in stroke patients.
Purpose of the Study:
- To evaluate the efficacy of functional electrical stimulation (FES)-based MT incorporating a motion recognition biofeedback device.
- To assess the impact of this combined intervention on upper extremity motor recovery in chronic stroke patients.
Main Methods:
- Twenty-six chronic stroke patients were randomly assigned to either a control (conventional MT) or experimental (FES-based MT with motion recognition biofeedback) group.
- Both groups received a conventional rehabilitation program.
- Interventions were administered for 30 minutes/day, 5 days/week, for 4 weeks, with pre- and post-intervention assessments.
Main Results:
- Both groups showed significant improvements in Fugl-Meyer assessment (FMA), manual function test (MFT), K-MBI, and active-range of motion (ROM).
- The experimental group uniquely demonstrated significant improvements in overall upper extremity recovery, ulnar, and radial deviation.
- Statistically significant differences favoring the experimental group were observed in Brunstrom's recovery level, FMA, MFT, and active-ROM changes.
Conclusions:
- FES-based MT utilizing gesture recognition biofeedback is an effective method for enhancing upper extremity motor recovery and function in chronic stroke patients.
- Integrating gesture-recognition biofeedback with FES-based MT provides supplementary therapeutic advantages.
- This innovative approach holds promise for improving functional outcomes in stroke rehabilitation.

