Copyright
©The Author(s) 2026.
World J Psychiatry. Feb 19, 2026; 16(2): 115160
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.115160
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.115160
Table 1 Pooled efficacy of electromyographic biofeedback in stroke rehabilitation (k = 15 studies, n = 1850)
| Outcome measure | EMG biofeedback + conventional therapy (d) | Conventional therapy alone (d) | P value |
| FMA-UL | 0.82 (0.71-0.93) | 0.45 (0.34-0.56) | < 0.001 |
| FMA-LL | 0.79 (0.68-0.90) | 0.41 (0.30-0.52) | < 0.001 |
| HAMA | -0.75 (-0.86 to -0.64) | -0.30 (-0.41 to -0.19) | < 0.001 |
| HAMD | -0.71 (-0.82 to -0.60) | -0.28 (-0.39 to -0.17) | < 0.001 |
| Berg Balance Scale | 0.69 (0.58-0.80) | 0.33 (0.22-0.44) | < 0.001 |
Table 2 Implementation framework for electromyographic biofeedback in stroke rehabilitation
| Domain | Recommendation | Evidence level |
| Session frequency | 3-5 sessions/week for 8 weeks | Meta-analysis (k = 10) |
| Duration per session | 30-45 minutes | RCT (n = 300) |
| Muscle groups | Focus on agonist-antagonist pairs (e.g., wrist flexors/extensors) | Systematic review |
| Psychological support | Combine with mindfulness or CBT | Yu et al[2] |
- Citation: Luo FG, Wang JJ, Xing HY, Wu WY, Fang KJ, Yan J. Integrating electromyographic biofeedback in stroke rehabilitation: A paradigm shift in motor and psychological recovery. World J Psychiatry 2026; 16(2): 115160
- URL: https://www.wjgnet.com/2220-3206/full/v16/i2/115160.htm
- DOI: https://dx.doi.org/10.5498/wjp.v16.i2.115160
