A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface.
作者信息
Bhattacharyya Saugat, Clerc Maureen, Hayashibe Mitsuhiro
机构信息
BCI-LIFT project, CAMIN Team, INRIA-LIRMM, University of Montpellier , France.
BCI-LIFT project, Athena Team, Inria Sophia Antipolis , France.
出版信息
Eur J Transl Myol. 2016 Jun 13;26(2):6041. doi: 10.4081/ejtm.2016.6041.
Abstract
Functional Electrical Stimulation (FES) provides a neuroprosthetic interface to non-recovered muscle groups by stimulating the affected region of the human body. FES in combination with Brain-machine interfacing (BMI) has a wide scope in rehabilitation because this system directly links the cerebral motor intention of the users with its corresponding peripheral muscle activations. In this paper, we examine the effect of FES on the electroencephalography (EEG) during motor imagery (left- and right-hand movement) training of the users. Results suggest a significant improvement in the classification accuracy when the subject was induced with FES stimuli as compared to the standard visual one.
摘要
相似文献
1
A Study on the Effect of Electrical Stimulation as a User Stimuli for Motor Imagery Classification in Brain-Machine Interface.
Eur J Transl Myol. 2016 Jun 13;26(2):6041. doi: 10.4081/ejtm.2016.6041.
2
Hybrid brain-computer interface and functional electrical stimulation for sensorimotor training in participants with tetraplegia: a proof-of-concept study.混合脑机接口与功能性电刺激用于四肢瘫痪患者的感觉运动训练：一项概念验证研究。
J Neurol Phys Ther. 2015 Jan;39(1):3-14. doi: 10.1097/NPT.0000000000000063.
3
Brain-Machine Neurofeedback: Robotics or Electrical Stimulation?脑机神经反馈：机器人技术还是电刺激？
Front Bioeng Biotechnol. 2020 Jul 7;8:639. doi: 10.3389/fbioe.2020.00639. eCollection 2020.
4
Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions.在神经系统疾病患者康复期间，使用脑机接口控制混合式上肢外骨骼。
J Neuroeng Rehabil. 2015 Oct 17;12:92. doi: 10.1186/s12984-015-0082-9.
5
Development of a Wearable Motor-Imagery-Based Brain-Computer Interface.基于运动想象的可穿戴式脑机接口的开发。
J Med Syst. 2016 Mar;40(3):71. doi: 10.1007/s10916-015-0429-6. Epub 2016 Jan 9.
6
Differences in hemodynamic activations between motor imagery and upper limb FES with NIRS.运动想象与上肢功能性电刺激结合近红外光谱技术时的血流动力学激活差异。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4728-31. doi: 10.1109/EMBC.2012.6347023.
7
Effect of tDCS stimulation of motor cortex and cerebellum on EEG classification of motor imagery and sensorimotor band power.经颅直流电刺激运动皮层和小脑对运动想象脑电分类及感觉运动频段功率的影响。
J Neuroeng Rehabil. 2017 Apr 19;14(1):31. doi: 10.1186/s12984-017-0242-1.
8
Individually adapted imagery improves brain-computer interface performance in end-users with disability.个性化适配的意象改善了残疾终端用户的脑机接口性能。
PLoS One. 2015 May 18;10(5):e0123727. doi: 10.1371/journal.pone.0123727. eCollection 2015.
9
Investigating the influence of functional electrical stimulation on motor imagery related μ-rhythm suppression.探究功能性电刺激对与运动想象相关的μ节律抑制的影响。
Front Neurosci. 2023 Jul 10;17:1202951. doi: 10.3389/fnins.2023.1202951. eCollection 2023.
10
Exploring differences between left and right hand motor imagery via spatio-temporal EEG microstate.通过时空 EEG 微观状态探索左右手运动想象的差异。
Comput Assist Surg (Abingdon). 2017 Dec;22(sup1):258-266. doi: 10.1080/24699322.2017.1389404. Epub 2017 Nov 3.
引用本文的文献
1
FES in Europe and Beyond: Current Translational Research.欧洲及其他地区的功能性电刺激：当前的转化研究
Eur J Transl Myol. 2016 Dec 16;26(4):6369. doi: 10.4081/ejtm.2016.6369. eCollection 2016 Sep 15.
本文引用的文献
1
Advances in functional electrical stimulation (FES).功能性电刺激（FES）的进展。
J Electromyogr Kinesiol. 2014 Dec;24(6):795-802. doi: 10.1016/j.jelekin.2014.09.008. Epub 2014 Oct 3.
2
Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose.用于康复目的的基于运动想象、P300和错误相关脑电图的机器人手臂运动控制。
Med Biol Eng Comput. 2014 Dec;52(12):1007-17. doi: 10.1007/s11517-014-1204-4. Epub 2014 Sep 30.
3
An analysis of performance evaluation for motor-imagery based BCI.基于运动想象的脑-机接口性能评估分析。
J Neural Eng. 2013 Jun;10(3):031001. doi: 10.1088/1741-2560/10/3/031001. Epub 2013 May 3.
4
Evoked electromyography-based closed-loop torque control in functional electrical stimulation.基于诱发电位肌电图的功能性电刺激闭环力矩控制。
IEEE Trans Biomed Eng. 2013 Aug;60(8):2299-307. doi: 10.1109/TBME.2013.2253777. Epub 2013 Mar 21.
5
An SSVEP-based brain-computer interface for the control of functional electrical stimulation.基于 SSVEP 的脑-机接口用于功能性电刺激的控制。
IEEE Trans Biomed Eng. 2010 Aug;57(8):1847-55. doi: 10.1109/TBME.2010.2043432. Epub 2010 Feb 18.
6
Regularized common spatial patterns with generic learning for EEG signal classification.用于脑电图信号分类的具有通用学习的正则化公共空间模式
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6599-602. doi: 10.1109/IEMBS.2009.5332554.
7
Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification.基于脑电图的运动想象分类中用于特征提取的频谱方法的比较分析。
IEEE Trans Neural Syst Rehabil Eng. 2008 Aug;16(4):317-26. doi: 10.1109/TNSRE.2008.926694.
Zotero 插件