THE AUDITORY P300-BASED SSBCI: A DOOR TO MINIMALLY CONSCIOUS PATIENTS?

被引:0
|
作者
Mueller-Putz, G. R. [1 ]
Klobassa, D. S. [1 ]
Pokorny, C. [1 ]
Pichler, G.
Erlbeck, H.
Real, R. G. L.
Kuebler, A.
Risetti, M.
Mattia, D.
机构
[1] Graz Univ Technol, A-8010 Graz, Austria
关键词
BRAIN-COMPUTER INTERFACES; VEGETATIVE STATE; DISORDERS; WHEELCHAIR;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this study we report on the evaluation of a novel auditory single-switch BCI in nine patients diagnosed with MCS. The task included a simple and a complex oddball paradigm, the latter uses the tone stream segregation phenomenon. In all patients a significant difference between deviant and frequent tones could be observed in EEG. However, in some cases the deviant tones produce a significant negative peak and in some a very late positive peak. These preliminary findings are relevant in order to address future customization of this auditory ssBCI-based paradigm for unresponsive patients.
引用
收藏
页码:4672 / 4675
页数:4
相关论文
共 50 条
  • [1] The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients
    Pokorny, Christoph
    Klobassa, Daniela S.
    Pichler, Gerald
    Erlbeck, Helena
    Real, Ruben G. L.
    Kuebler, Andrea
    Lesenfants, Damien
    Habbal, Dina
    Noirhomme, Quentin
    Risetti, Monica
    Mattia, Donatella
    Mueller-Putz, Gernot R.
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2013, 59 (02) : 81 - 90
  • [2] A Novel Auditory-tactile P300-based BCI Paradigm
    Jiang, Jing
    Zhang, Boyang
    Yin, Erwei
    Wang, Chunhui
    Deng, Baosong
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS (CIVEMSA 2019), 2019, : 134 - 139
  • [3] Comparison of Classifiers for the Transfer Learning of Affective Auditory P300-Based BCIs
    Onishi, Akinari
    Nakagawa, Seiji
    [J]. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 6766 - 6769
  • [4] How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs?
    Onishi, Akinari
    Nakagawa, Seiji
    [J]. FRONTIERS IN NEUROSCIENCE, 2019, 13
  • [5] Design of auditory P300-based brain-computer interfaces with a single auditory channel and no visual support
    Choi, Yun-Joo
    Kwon, Oh-Sang
    Kim, Sung-Phil
    [J]. COGNITIVE NEURODYNAMICS, 2023, 17 (06) : 1401 - 1416
  • [6] Design of auditory P300-based brain-computer interfaces with a single auditory channel and no visual support
    Yun-Joo Choi
    Oh-Sang Kwon
    Sung-Phil Kim
    [J]. Cognitive Neurodynamics, 2023, 17 : 1401 - 1416
  • [7] P300 correlates with tDCS response in minimally conscious state patients
    Zhang, Ye
    Chen, Weiguan
    Zhang, Tiantian
    Du, Jubao
    Li, Rui
    Huo, Renchao
    Song, Weiqun
    [J]. NEUROSCIENCE LETTERS, 2022, 774
  • [8] Toward a high-throughput auditory P300-based brain-computer interface
    Klobassa, D. S.
    Vaughan, T. M.
    Brunner, P.
    Schwartz, N. E.
    Wolpaw, J. R.
    Neuper, C.
    Sellers, E. W.
    [J]. CLINICAL NEUROPHYSIOLOGY, 2009, 120 (07) : 1252 - 1261
  • [9] The P300-based concealed information test
    Verschuere, B.
    Meijer, E.
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2008, 69 (03) : 149 - 149
  • [10] An Auditory P300-based Brain-Computer Interface Using Ear-EEG
    Kaongoen, Netiwit
    Jo, Sungho
    [J]. 2018 6TH INTERNATIONAL CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2018, : 134 - 137