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基于脑机接口的功能性电刺激综述

[A review of functional electrical stimulation based on brain-computer interface].

作者信息

Wang Yao, Li Yuhan, Cui Hongyan, Li Meng, Chen Xiaogang

机构信息

School of Life Sciences, Tianjin Polytechnic University, Tianjin 300387, P. R. China.

Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Aug 25;41(4):650-655. doi: 10.7507/1001-5515.202311036.

DOI:10.7507/1001-5515.202311036
PMID:39218589
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11366473/
Abstract

Individuals with motor dysfunction caused by damage to the central nervous system are unable to transmit voluntary movement commands to their muscles, resulting in a reduced ability to control their limbs. However, traditional rehabilitation methods have problems such as long treatment cycles and high labor costs. Functional electrical stimulation (FES) based on brain-computer interface (BCI) connects the patient's intentions with muscle contraction, and helps to promote the reconstruction of nerve function by recognizing nerve signals and stimulating the moving muscle group with electrical impulses to produce muscle convulsions or limb movements. It is an effective treatment for sequelae of neurological diseases such as stroke and spinal cord injury. This article reviewed the current research status of BCI-based FES from three aspects: BCI paradigms, FES parameters and rehabilitation efficacy, and looked forward to the future development trend of this technology, in order to improve the understanding of BCI-based FES.

摘要

因中枢神经系统损伤而导致运动功能障碍的个体无法将自主运动指令传递至肌肉,从而致使其控制四肢的能力下降。然而,传统康复方法存在治疗周期长和劳动力成本高等问题。基于脑机接口(BCI)的功能性电刺激(FES)将患者意图与肌肉收缩相连接,并通过识别神经信号以及用电脉冲刺激运动肌肉群以产生肌肉抽搐或肢体运动,来帮助促进神经功能重建。它是治疗中风和脊髓损伤等神经疾病后遗症的有效方法。本文从脑机接口范式、功能性电刺激参数和康复疗效这三个方面综述了基于脑机接口的功能性电刺激的当前研究现状,并展望了该技术的未来发展趋势,以增进对基于脑机接口的功能性电刺激的理解。

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引用本文的文献

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Eur J Med Res. 2025 Jun 19;30(1):495. doi: 10.1186/s40001-025-02689-y.

本文引用的文献

1
Neural Interface-Based Motor Neuroprosthesis in Poststroke Upper Limb Neurorehabilitation: An Individual Patient Data Meta-analysis.基于神经接口的运动神经假体在中风后上肢神经康复中的应用:个体患者数据荟萃分析。
Arch Phys Med Rehabil. 2024 Dec;105(12):2336-2349. doi: 10.1016/j.apmr.2024.04.001. Epub 2024 Apr 4.
2
Brain-computer interface paradigms and neural coding.脑机接口范式与神经编码。
Front Neurosci. 2024 Jan 15;17:1345961. doi: 10.3389/fnins.2023.1345961. eCollection 2023.
3
An Adaptive Brain-Computer Interface to Enhance Motor Recovery After Stroke.一种自适应脑机接口,用于增强中风后的运动康复。
IEEE Trans Neural Syst Rehabil Eng. 2023;31:2268-2278. doi: 10.1109/TNSRE.2023.3272372. Epub 2023 May 12.
4
Respiratory training combined with core training improves lower limb function in patients with ischemic stroke.呼吸训练联合核心训练可改善缺血性脑卒中患者的下肢功能。
Am J Transl Res. 2023 Mar 15;15(3):1880-1888. eCollection 2023.
5
BCI-activated electrical stimulation in children with perinatal stroke and hemiparesis: A pilot study.脑机接口激活的电刺激对围产期卒中伴偏瘫儿童的影响:一项初步研究。
Front Hum Neurosci. 2023 Mar 17;17:1006242. doi: 10.3389/fnhum.2023.1006242. eCollection 2023.
6
Electrical stimulation therapy for peripheral nerve injury.周围神经损伤的电刺激疗法
Front Neurol. 2023 Feb 24;14:1081458. doi: 10.3389/fneur.2023.1081458. eCollection 2023.
7
A Review of Brain Activity and EEG-Based Brain-Computer Interfaces for Rehabilitation Application.基于脑电图的脑机接口在康复应用中的脑活动综述。
Bioengineering (Basel). 2022 Dec 5;9(12):768. doi: 10.3390/bioengineering9120768.
8
BCI-FES With Multimodal Feedback for Motor Recovery Poststroke.具有多模态反馈的脑机接口-功能性电刺激用于中风后运动恢复
Front Hum Neurosci. 2022 Jul 6;16:725715. doi: 10.3389/fnhum.2022.725715. eCollection 2022.
9
Poststroke motor, cognitive and speech rehabilitation with brain-computer interface: a perspective review.基于脑机接口的中风后运动、认知和言语康复:一篇综述
Stroke Vasc Neurol. 2022 Jul 19;7(6):541-9. doi: 10.1136/svn-2022-001506.
10
Multimodal Neural Response and Effect Assessment During a BCI-Based Neurofeedback Training After Stroke.中风后基于脑机接口的神经反馈训练期间的多模态神经反应与效果评估
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