Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness

被引:0
|
作者
Emilia Mikoajewska
Dariusz Mikoajewski
机构
[1] Department of Applied Informatics,Department of Physics, Astronomy and Applied Informatics, Nicolaus Copernicus University
[2] Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland
[3] Disorders of Consciousness Research and Neurorehabilitation Unit, Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland
[4] Disorders of Consciousness Research and Neurorehabilitation Unit, Neurocognitive Laboratory,Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland
[5] Rehabilitation Department, Military Clinical Hospital No. 10 and Polyclinic, Powstańców Warszawy 5, Bydgoszcz 85-681, Poland
关键词
neurological disorders; disorders of consciousness; brain-computer interfaces; EEG-based BCIs;
D O I
暂无
中图分类号
R741 [神经病学];
学科分类号
1002 ;
摘要
Disorders of consciousness(DoCs) are chronic conditions resulting usually from severe neurological deficits. The limitations of the existing diagnosis systems and methodologies cause a need for additional tools for relevant patients with DoCs assessment, including brain-computer interfaces(BCIs). Recent progress in BCIs’ clinical applications may offer important breakthroughs in the diagnosis and therapy of patients with DoCs. Thus the clinical significance of BCI applications in the diagnosis of patients with DoCs is hard to overestimate. One of them may be brain-computer interfaces. The aim of this study is to evaluate possibility of non-invasive EEG-based brain-computer interfaces in diagnosis of patients with DOCs in post-acute and long-term care institutions.
引用
收藏
页码:109 / 114
页数:6
相关论文
共 50 条
  • [1] Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness
    Emilia Mikoajewska
    Dariusz Mikoajewski
    [J]. Military Medical Research., 2014, 1 (02) - 114
  • [2] Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness
    Mikołajewska E.
    Mikołajewski D.
    [J]. Military Medical Research, 1 (1)
  • [3] Instrumentation and Measurements for Non-Invasive EEG-Based Brain-Computer Interface
    Angrisani, Leopoldo
    Arpaia, Pasquale
    Casinelli, Deborah
    [J]. 2017 IEEE INTERNATIONAL WORKSHOP ON MEASUREMENT AND NETWORKING (M&N), 2017, : 153 - 157
  • [4] EEG-based brain-computer interfaces
    McFarland, D. J.
    Wolpaw, J. R.
    [J]. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 2017, 4 : 194 - 200
  • [5] EEG-Based Brain-Computer Interfaces
    Wang, Yijun
    Nakanishi, Masaki
    Zhang, Dan
    [J]. NEURAL INTERFACE: FRONTIERS AND APPLICATIONS, 2019, 1101 : 41 - 65
  • [6] EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review
    Galiotta, Valentina
    Quattrociocchi, Ilaria
    D'Ippolito, Mariagrazia
    Schettini, Francesca
    Arico, Pietro
    Sdoia, Stefano
    Formisano, Rita
    Cincotti, Febo
    Mattia, Donatella
    Riccio, Angela
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2022, 16
  • [7] Brain-computer interfaces for patients with disorders of consciousness
    Gibson, R. M.
    Owen, A. M.
    Cruse, D.
    [J]. BRAIN-COMPUTER INTERFACES: LAB EXPERIMENTS TO REAL-WORLD APPLICATIONS, 2016, 228 : 241 - 291
  • [8] A conceptual space for EEG-based brain-computer interfaces
    Kosmyna, Nataliya
    Lecuyer, Anatole
    [J]. PLOS ONE, 2019, 14 (01):
  • [9] Investigation on Robustness of EEG-based Brain-Computer Interfaces
    Nagarajan, Aarthy
    Robinson, Neethu
    Guan, Cuntai
    [J]. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 6334 - 6340
  • [10] Invasive and non-invasive methods of brain-computer interfaces
    Kawala, Aleksandra
    Khoma, Volodymyr
    Zmarzly, Dariusz
    Sovyn, Yaroslav
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2008, 84 (03): : 134 - 136