Effect of Sequential Electroacupuncture Combined With Augmented Reality Gait Training on Walking Function and Neuromuscular Control in Subacute Stroke

OBJECTIVE: To investigate the effects of sequential electroacupuncture (EA) combined with augmented reality (AR) gait training on walking function and neuromuscular control in patients with subacute stroke (onset 1-6 mo). DESIGN: A single-blind, randomized controlled trial allocating 40 patients with subacute stroke to an experimental (EA+AR, n=20) or control group (AR alone, n=20) for 4 weeks. The primary outcome was gait speed. RESULTS: Generalized estimating equations (GEE) analyses revealed that the experimental group demonstrated significantly greater improvement in gait speed (Wald χ²=6.509, P=0.011) compared with controls. Significant improvements were also observed in stride length, gait symmetry, FMA-LE, BBS, and CCI (all P <0.05). No significant between-group differences were found for step width, cadence, or joint kinematics (all P >0.05). No adverse events occurred. CONCLUSION: The sequential EA-AR protocol significantly improved gait speed-the primary outcome-as well as stride length, gait symmetry, motor function, balance, and neuromuscular control. These findings suggest that temporally structured EA prior to AR training may facilitate motor relearning, potentially through transient neuromodulatory states induced by EA, though this mechanistic interpretation requires further confirmation.

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Publication Details

Journal
American Journal of Physical Medicine & Rehabilitation
Published
2026-09-14
DOI
https://doi.org/10.1097/phm.0000000000003159
Primary Topic
Acupuncture Treatment Research Studies
Type
article
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article

Effect of Sequential Electroacupuncture Combined With Augmented Reality Gait Training on Walking Function and Neuromuscular Control in Subacute Stroke

Linjie Fang, Jianer Chen, Xiaoqin Le, Manting Cao et al.
American Journal of Physical Medicine & Rehabilitation
Acupuncture Treatment Research Studies
article

Effect of Sequential Electroacupuncture Combined With Augmented Reality Gait Training on Walking Function and Neuromuscular Control in Subacute Stroke

Linjie Fang, Jianer Chen, Xiaoqin Le, Manting Cao, Xuekang Niu, Manxue Zhou, Yi Zhong, Qianru Yan
article en

Abstract

OBJECTIVE: To investigate the effects of sequential electroacupuncture (EA) combined with augmented reality (AR) gait training on walking function and neuromuscular control in patients with subacute stroke (onset 1-6 mo). DESIGN: A single-blind, randomized controlled trial allocating 40 patients with subacute stroke to an experimental (EA+AR, n=20) or control group (AR alone, n=20) for 4 weeks. The primary outcome was gait speed. RESULTS: Generalized estimating equations (GEE) analyses revealed that the experimental group demonstrated significantly greater improvement in gait speed (Wald χ²=6.509, P=0.011) compared with controls. Significant improvements were also observed in stride length, gait symmetry, FMA-LE, BBS, and CCI (all P <0.05). No significant between-group differences were found for step width, cadence, or joint kinematics (all P >0.05). No adverse events occurred. CONCLUSION: The sequential EA-AR protocol significantly improved gait speed-the primary outcome-as well as stride length, gait symmetry, motor function, balance, and neuromuscular control. These findings suggest that temporally structured EA prior to AR training may facilitate motor relearning, potentially through transient neuromodulatory states induced by EA, though this mechanistic interpretation requires further confirmation.

American Journal of Physical Medicine & Rehabilitation
Zhejiang Chinese Medical University (CN), The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
Openalex Percentile: Top 6%
Acupuncture Treatment Research Studies
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Effect of Sequential Electroacupuncture Combined With Augmented Reality Gait Training on Walking Function and Neuromuscular Control in Subacute Stroke — Linjie Fang, Jianer Chen, et al. · American Journal of Physical Medicine & Rehabilitation (2026) | TGRS Research Map | TGRS