Motor rehabilitation for hemiparetic stroke patients using a brain-computer interface method

被引:10
|
作者
Cho, Woosang [1 ]
Heilinger, Alexander [1 ]
Ortner, Rupert [1 ]
Murovec, Nensi [1 ]
Xu, Ren [2 ]
Swift, James [3 ]
Zehetner, Manuela [1 ]
Schobesberger, Stefan [1 ]
Edlinger, Guenter [2 ]
Guger, Christoph [1 ,2 ]
机构
[1] Gtec Med Engn GmbH, Sierningstr 14, A-4521 Schiedlberg, Austria
[2] Guger Technol OG, Herbersteinstr 60, A-8020 Graz, Austria
[3] Gtec Neurotechnol USA, 5 Univ Pl,Rm D201, Rensselaer, NY 12144 USA
来源
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2018年
关键词
brain-computer interfaces; motor imagery; stroke rehabilitation; functional electrical stimulation; avatar; SPATIAL FILTERS; SCALE;
D O I
10.1109/SMC.2018.00178
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Brain-computer interfaces (BCIs) have been employed in rehabilitation training for post-stroke patients. In this study, we present the results of the intervention based on BCI triggered functional electrical stimulation (FES) and avatar mirroring. Seven chronic stroke patients participated in 25 sessions of training over 13 weeks. Seven assessments were conducted to observe any behavioral changes before and after the intervention. The primary outcome measure, i.e. the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE), increased significantly by 6.4 points (p=0.048), which is above the minimal clinically important difference (MCID). The Modified Ashworth Scale (MAS), one of the secondary outcome measures, reduced significantly in both the wrist and the finger (p=0.046 and p=0.047 respectively). This study demonstrated motor function improvement and spasticity reduction in chronic stroke patients (n=7) after BCI triggered FES and avatar mirroring. One limitation of this study is that the small sample size may not adequately represent the diverse stroke population. Further work should include a randomized controlled trial to investigate the effectiveness of BCI triggered FES compared to conventional therapies.
引用
收藏
页码:1001 / 1005
页数:5
相关论文
共 50 条
  • [21] A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
    Ang, Kai Keng
    Chua, Karen Sui Geok
    Phua, Kok Soon
    Wang, Chuanchu
    Chin, Zheng Yang
    Kuah, Christopher Wee Keong
    Low, Wilson
    Guan, Cuntai
    CLINICAL EEG AND NEUROSCIENCE, 2015, 46 (04) : 310 - 320
  • [22] Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review
    Baniqued, Paul Dominick E.
    Stanyer, Emily C.
    Awais, Muhammad
    Alazmani, Ali
    Jackson, Andrew E.
    Mon-Williams, Mark A.
    Mushtaq, Faisal
    Holt, Raymond J.
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2021, 18 (01)
  • [23] Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation
    Choi, Inchul
    Kwon, Gyu Hyun
    Lee, Sangwon
    Nam, Chang S.
    BRAIN SCIENCES, 2020, 10 (08) : 1 - 26
  • [24] Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation
    Zhang, Ruoqing
    Feng, Shanshan
    Hu, Nan
    Low, Shunkang
    Li, Meng
    Chen, Xiaogang
    Cui, Hongyan
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (07) : 4194 - 4203
  • [25] Brain-computer interface in critical care and rehabilitation
    Oh, Eunseo
    Shin, Seyoung
    Kim, Sung-Phil
    ACUTE AND CRITICAL CARE, 2024, 39 (01)
  • [26] REHABILITATION OF PATIENTS WITH CEREBRAL PALSY USING HAND EXOSKELETON CONTROLLED BY BRAIN-COMPUTER INTERFACE
    Bobrov, P. D.
    Diryukova, L., V
    Polyaev, B. A.
    Lajsheva, O. A.
    Usachjova, E. L.
    Sokolova, A., V
    Mihailova, D., I
    Dement'eve, K. N.
    Fedolova, I. R.
    BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY, 2020, (04): : 33 - 40
  • [27] Motor imagery-based brain-computer interface rehabilitation programs enhance upper extremity performance and cortical activation in stroke patients
    Ma, Zhen-Zhen
    Wu, Jia-Jia
    Cao, Zhi
    Hua, Xu-Yun
    Zheng, Mou-Xiong
    Xing, Xiang-Xin
    Ma, Jie
    Xu, Jian-Guang
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2024, 21 (01)
  • [28] Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar
    Guger, Christoph
    Millan, Jose Del R.
    Mattia, Donatella
    Ushiba, Junichi
    Soekadar, Surjo R.
    Prabhakaran, Vivek
    Mrachacz-Kersting, Natalie
    Kamada, Kyousuke
    Allison, Brendan Z.
    BRAIN-COMPUTER INTERFACES, 2018, 5 (2-3) : 41 - 57
  • [29] Lower limb rehabilitation exoskeleton using brain-computer interface based on multiband filtering with classifier fusion
    Lin, Chih-Jer
    Sie, Ting-Yi
    ASIAN JOURNAL OF CONTROL, 2025, 27 (01) : 144 - 168
  • [30] A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer Interface
    Ang, Kai Keng
    Guan, Cuntai
    Chua, Karen Sui Geok
    Ang, Beng Ti
    Kuah, Christopher Wee Keong
    Wang, Chuanchu
    Phua, Kok Soon
    Chin, Zheng Yang
    Zhang, Haihong
    CLINICAL EEG AND NEUROSCIENCE, 2011, 42 (04) : 253 - 258