MOTOR IMAGERY OF LOWER LIMBS MOVEMENTS TO CONTROL BRAIN-COMPUTER INTERFACE

被引:0
|
作者
Bobrova, E. V. [1 ]
Reshetnikova, V. V. [1 ,2 ]
Frolov, A. A. [3 ,4 ]
Gerasimenko, Y. P. [1 ]
机构
[1] Russian Acad Sci, Pavlov Inst Physiol, Movement Physiol Lab, St Petersburg, Russia
[2] St Petersburg State Univ, Dept Higher Nervous Act & Psychophysiol, St Petersburg, Russia
[3] Russian Acad Sci, Inst Higher Nervous Act, Lab Math Neurobiol Learning, Moscow, Russia
[4] Pirogov Russian Natl Res Med Univ, Inst Translat Med, Dept Brain Comp Interface, Moscow, Russia
关键词
brain-computer interface; lower limbs; neurorehabilitation; locomotion; foot drop; orthoses; virtual space; STROKE PATIENTS; GAIT; REHABILITATION; IMPROVE; USERS;
D O I
10.1134/S0044467719050034
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The review is dedicated to the problem of the use of brain-computer interface (BCI) systems controlled by the imagination of lower limb movements and their application in clinical practice. The research on this topic is significantly scarcer than the research of BCI controlled by the imagination of upper limb movements, which is partly due to methodological difficulties. The review describes various modifications of BCI; most studies are concerned with the recovery of the walking function, while other studies explore the movements in the ankle joint. To achieve the recovery of locomotion, BCI is often controlled through imagining walking, which leads to an avatar moving in the virtual space. In some studies, motor imagery is accompanied by functional electric stimulation to activate the muscles that ensure the implementation of the imaginary movement, and/or by activation of external mechanical devices (orthoses, exoskeleton). Finally, some studies offer fundamentally new integrative approaches, for example, BCI controlled by the imagination of hand movements, where the signal triggers the movement of the avatar's legs or orthoses, accompanied by tactile stimulation of the forearm in the rhythm of walking. No studies of the recovery of the lower limb functions with the help of BCI performed in Russia were identified in the literature.
引用
收藏
页码:529 / 540
页数:12
相关论文
共 50 条
  • [21] Virtual Drone Control Using Brain-Computer Interface Based on Motor Imagery Brain Magnetic Fields
    Tan, Gaobo
    Gai, Jinming
    Guo, Ruihan
    Zhang, Guiying
    Lin, Qiang
    Hu, Zhenghui
    HUMAN BRAIN AND ARTIFICIAL INTELLIGENCE, HBAI 2022, 2023, 1692 : 161 - 171
  • [22] Bipolar electrode selection for a motor imagery based brain-computer interface
    Lou, Bin
    Hong, Bo
    Gao, Xiaorong
    Gao, Shangkai
    JOURNAL OF NEURAL ENGINEERING, 2008, 5 (03) : 342 - 349
  • [23] Design of electrode layout for motor imagery based brain-computer interface
    Wang, Y.
    Hong, B.
    Gao, X.
    Gao, S.
    ELECTRONICS LETTERS, 2007, 43 (10) : 557 - 558
  • [24] A Predictive Speller Controlled by a Brain-Computer Interface Based on Motor Imagery
    D'Albis, Tiziano
    Blatt, Rossella
    Tedesco, Roberto
    Sbattella, Licia
    Matteucci, Matteo
    ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 2012, 19 (03)
  • [25] Feature Extraction of Brain-Computer Interface Electroencephalogram Based on Motor Imagery
    Shi, Tianwei
    Ren, Ling
    Cui, Wenhua
    IEEE SENSORS JOURNAL, 2020, 20 (20) : 11787 - 11794
  • [26] Design of a Robotic Wheelchair with a Motor Imagery based Brain-Computer Interface
    Kim, Keun-Tae
    Carlson, Tom
    Lee, Seong-Whan
    2013 IEEE INTERNATIONAL WINTER WORKSHOP ON BRAIN-COMPUTER INTERFACE (BCI), 2013, : 46 - 48
  • [27] A Novel Classification Method for Motor Imagery Based on Brain-Computer Interface
    Chen, Chih-Yu
    Wu, Chun-Wei
    Lin, Chin-Teng
    Chen, Shi-An
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 4099 - 4102
  • [28] Development of a Wearable Motor-Imagery-Based Brain-Computer Interface
    Lin, Bor-Shing
    Pan, Jeng-Shyang
    Chu, Tso-Yao
    Lin, Bor-Shyh
    JOURNAL OF MEDICAL SYSTEMS, 2016, 40 (03) : 1 - 8
  • [29] Classification of motor imagery tasks for electrocorticogram based brain-computer interface
    Xu F.
    Zhou W.
    Zhen Y.
    Yuan Q.
    Zhou, W. (wdzhou@sdu.edu.cn), 1600, Springer Verlag (04): : 149 - 157
  • [30] Electroencephalography-Based Brain-Computer Interface Motor Imagery Classification
    Mohammadi, Ehsan
    Daneshmand, Parisa Ghaderi
    Khorzooghi, Seyyed Mohammad Sadegh Moosavi
    JOURNAL OF MEDICAL SIGNALS & SENSORS, 2022, 12 (01): : 40 - 47