Auditory Brain-Computer Interfaces for Complete Locked-In Patients

被引：0
|
作者：
Lopez-Gordo, M. A. [1 ]
Ron-Angevin, Ricardo [1 ]
Pelayo Valle, Francisco [2 ]
机构：
[1] Univ Malaga, Dept Elect Technol, E-29071 Malaga, Spain
[2] Univ Granada, Dept Comp Architecture & Technol, E-18071 Granada, Spain
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2011, PT I | 2011年 / 6691卷
关键词：
Brain-computer Interface; auditory; Event-related potential; EEG; vegetative; complete locked-in; DETECTING AWARENESS; CONSCIOUSNESS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Brain-computer interfaces (BCIs) are intended for people unable to do any muscular movement such as complete locked-in patients. Most of the BCIs make use of visual interaction with the user, either in form of stimulation or biofeedback. However, visual BCIs challenge the ultimate use of BCIs because they require the subjects to gaze, explore and coordinate the eyes using their muscles, thus ruling out complete locked-in patients. Despite auditory BCIs overcome the problem of the visuals, there are not many examples of them in the BCI literature. In this paper we review the research and main contributions to auditory BCIs, and compare them with visual BCIs, especially to communicate with complete locked-in patients.
引用
收藏
页码：378 / 385
页数：8
相关论文
共 50 条
  • [41] A man in a completely locked-in state produces intelligible sentences using a brain-computer interface
    Han, Jason J.
    ARTIFICIAL ORGANS, 2022, 46 (06) : 985 - 986
  • [42] Independent steady state visually evoked potential (SSVEP)-based brain-computer interface for communication with locked-in patients
    Lesenfants, D.
    Habbal, D.
    Chatelle, C.
    Amico, E.
    Gomez, F.
    Lugo, Z.
    Laureys, S.
    Noirhomme, Q.
    JOURNAL OF NEUROLOGY, 2013, 260 : S93 - S93
  • [43] EEG-based Brain-Computer Interface for Real-Time Communication of Patients in Completely Locked-in State
    Han, Chang-Hee
    Im, Chang-Hwan
    2018 6TH INTERNATIONAL CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2018, : 101 - 102
  • [44] Comparisons of Auditory, Audiovisual, and Visual Modalities in Feature Domain for Auditory Brain-Computer Interfaces
    Choi, Yun-Joo
    Kim, Minju
    Kim, Jongsu
    Heo, Dojin
    Kim, Sung-Phil
    2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021), 2021, : 2021 - 2027
  • [45] Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
    Wang, Zhouheng
    Shi, Nanlin
    Zhang, Yingchao
    Zheng, Ning
    Li, Haicheng
    Jiao, Yang
    Cheng, Jiahui
    Wang, Yutong
    Zhang, Xiaoqing
    Chen, Ying
    Chen, Yihao
    Wang, Heling
    Xie, Tao
    Wang, Yijun
    Ma, Yinji
    Gao, Xiaorong
    Feng, Xue
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [46] Improving Auditory Paradigms for Consciousness Detection by Brain-Computer Interfaces Technique
    Agoiz Badia, Daniel
    Dinares-Ferran, Josep
    Swift, James
    Xu, Ren
    Ortner, Rupert
    Rodriguez, Javier
    Guger, Christoph
    Giraldo, Beatriz F.
    Edlinger, Guenter
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 63 - 66
  • [47] Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
    Zhouheng Wang
    Nanlin Shi
    Yingchao Zhang
    Ning Zheng
    Haicheng Li
    Yang Jiao
    Jiahui Cheng
    Yutong Wang
    Xiaoqing Zhang
    Ying Chen
    Yihao Chen
    Heling Wang
    Tao Xie
    Yijun Wang
    Yinji Ma
    Xiaorong Gao
    Xue Feng
    Nature Communications, 14
  • [48] Brain-computer interfaces: a review
    Coyle, S
    Ward, T
    Markham, C
    INTERDISCIPLINARY SCIENCE REVIEWS, 2003, 28 (02) : 112 - 118
  • [49] Brain-Computer Interfaces in Medicine
    Shih, Jerry J.
    Krusienski, Dean J.
    Wolpaw, Jonathan R.
    MAYO CLINIC PROCEEDINGS, 2012, 87 (03) : 268 - 279
  • [50] Flexible brain-computer interfaces
    Tang, Xin
    Shen, Hao
    Zhao, Siyuan
    Li, Na
    Liu, Jia
    NATURE ELECTRONICS, 2023, 6 (02) : 109 - 118
12345