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上肢运动驱动的虚拟康复系统对完全性脊髓损伤患者残余运动功能的影响:一项初步研究。

Impact of an upper limb motion-driven virtual rehabilitation system on residual motor function in patients with complete spinal cord injury: a pilot study.

作者信息

Xiao Yanqing, Gao Yang, Bai Hongming, Song Guiyun, Wang Hanming, Rao Jia-Sheng, Hao Aimin, Li Xiaoguang, Zheng Jia

机构信息

Beijing Key Laboratory for Biomaterials and Neural Regeneration, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering; Beijing International Cooperation Bases for Science and Technology on Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191, China.

The State Key Laboratory of VR Technology and Systems, Unit of Virtual Body and Virtual Surgery (2019RU004), Beihang University, Chinese Academy of Medical Sciences, Beijing, 100050, China.

出版信息

J Neuroeng Rehabil. 2025 Mar 5;22(1):48. doi: 10.1186/s12984-025-01587-y.

DOI:10.1186/s12984-025-01587-y
PMID:40045360
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11881371/
Abstract

BACKGROUND

Assessing residual motor function in motor complete spinal cord injury (SCI) patients using surface electromyography (sEMG) is clinically important. Due to the prolonged loss of motor control and peripheral sensory input, patients may struggle to effectively activate residual motor function during sEMG assessments. The study proposes using virtual reality (VR) technology to enhance embodiment, motor imagery (MI), and memory, aiming to improve the activation of residual motor function and increase the sensitivity of sEMG assessments.

METHODS

By Recruiting a sample of 12 patients with AIS A/B and capturing surface electromyographic signals before, druing and after VR training, RESULTS: Most patients showed significant electromyographic improvements in activation frequency and or 5-rank frequency during or after VR training. However, one patient with severe lower limb neuropathic pain did not exhibit volitional electromyographic activation, though their pain diminished during the VR training.

CONCLUSIONS

VR can enhance the activation of patients' residual motor function by improving body awareness and MI, thereby increasing the sensitivity of sEMG assessments.

摘要

背景

使用表面肌电图(sEMG)评估运动完全性脊髓损伤(SCI)患者的残余运动功能在临床上具有重要意义。由于运动控制和外周感觉输入长期丧失,患者在sEMG评估过程中可能难以有效激活残余运动功能。该研究提出使用虚拟现实(VR)技术来增强身体感知、运动想象(MI)和记忆,旨在改善残余运动功能的激活并提高sEMG评估的敏感性。

方法

招募了12例美国脊髓损伤协会(AIS)分级为A/B级的患者样本,并在VR训练前、训练期间和训练后采集表面肌电信号。

结果

大多数患者在VR训练期间或训练后,其激活频率和/或五阶频率的肌电图有显著改善。然而,一名患有严重下肢神经性疼痛的患者未表现出自主肌电图激活,尽管其疼痛在VR训练期间有所减轻。

结论

VR可以通过提高身体意识和运动想象来增强患者残余运动功能的激活,从而提高sEMG评估的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/cc5b424d6839/12984_2025_1587_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/c3a357c7eb2e/12984_2025_1587_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/bb6bce38037f/12984_2025_1587_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/20b0463ea890/12984_2025_1587_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/713dd8df45ea/12984_2025_1587_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/cc5b424d6839/12984_2025_1587_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/c3a357c7eb2e/12984_2025_1587_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/bb6bce38037f/12984_2025_1587_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/20b0463ea890/12984_2025_1587_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/713dd8df45ea/12984_2025_1587_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/406c/11881371/cc5b424d6839/12984_2025_1587_Fig5_HTML.jpg

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本文引用的文献

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Neural Regen Res. 2025 Aug 1;20(8):2337-2347. doi: 10.4103/NRR.NRR-D-23-01812. Epub 2024 May 13.
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Interactive Virtual Ankle Movement Controlled by Wrist sEMG Improves Motor Imagery: An Exploratory Study.腕部表面肌电信号控制的交互式虚拟踝关节运动改善运动想象:一项探索性研究。
IEEE Trans Vis Comput Graph. 2024 Aug;30(8):5507-5524. doi: 10.1109/TVCG.2023.3294342. Epub 2024 Jul 1.
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