A Review of Past and Future Near-Infrared Spectroscopy Brain Computer Interface Research at the PRISM Lab

被引:0
|
作者
Schudlo, Larissa C. [1 ]
Weyand, Sabine [1 ]
Chau, Tom [1 ]
机构
[1] Holland Bloorview Kids Rehabil Hosp, Bloorview Res Inst, Toronto, ON, Canada
来源
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2014年
关键词
SINGLE-TRIAL CLASSIFICATION; MOTOR IMAGERY; SIGNALS; PERFORMANCE;
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
Single-trial classification of near-infrared spectroscopy (NIRS) signals for brain- computer interface (BCI) applications has recently gained much attention. This paper reviews research in this area conducted at the PRISM lab (University of Toronto) to date, as well as directions for future work. Thus far, research has included classification of hemodynamic changes induced by the performance of various mental tasks in both offline and online settings, as well as offline classification of cortical changes evoked by different affective states. The majority of NIRS-BCI work has only involved able-bodied individuals. However, preliminary work involving individuals from target BCI-user populations is also underway. In addition to further testing with users with severe disabilities, ongoing and future research will focus on enhancing classification accuracies, communication speed and user experience.
引用
收藏
页码:1996 / 1999
页数:4
相关论文
共 50 条
  • [1] Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
    Li Hongyun
    Fu Yunfa
    LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (16)
  • [2] Functional Near-Infrared Spectroscopy based Brain Activity Classification for Development of a Brain-Computer Interface
    Naseer, Noman
    Hong, Keum-Shik
    2012 INTERNATIONAL CONFERENCE ON ROBOTICS AND ARTIFICIAL INTELLIGENCE (ICRAI), 2012, : 174 - 178
  • [3] Online binary decision decoding using functional near-infrared spectroscopy for the development of brain-computer interface
    Naseer, Noman
    Hong, Melissa Jiyoun
    Hong, Keum-Shik
    EXPERIMENTAL BRAIN RESEARCH, 2014, 232 (02) : 555 - 564
  • [4] Correlates of near-infrared spectroscopy brain-computer interface accuracy in a multi-class personalization framework
    Weyand, Sabine
    Chau, Tom
    FRONTIERS IN HUMAN NEUROSCIENCE, 2015, 9
  • [5] A noninvasive brain computer interface using visually-induced near-infrared spectroscopy responses
    Chen, Cheng-Hsuan
    Ho, Ming-Shan
    Shyu, Kuo-Kai
    Hsu, Kou-Cheng
    Wang, Kuo-Wei
    Lee, Po-Lei
    NEUROSCIENCE LETTERS, 2014, 580 : 22 - 26
  • [6] Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces
    Shin, Jaeyoung
    FRONTIERS IN HUMAN NEUROSCIENCE, 2020, 14
  • [7] Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
    Naseer, Noman
    Qureshi, Nauman Khalid
    Noori, Farzan Majeed
    Hong, Keum-Shik
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2016, 2016
  • [8] Brain-Computer Interfacing Using Functional Near-Infrared Spectroscopy (fNIRS)
    Paulmurugan, Kogulan
    Vijayaragavan, Vimalan
    Ghosh, Sayantan
    Padmanabhan, Parasuraman
    Gulyas, Balazs
    BIOSENSORS-BASEL, 2021, 11 (10):
  • [9] The Investigation of Brain-computer Interface for Motor Imagery and Execution Using Functional Near-infrared Spectroscopy
    Zhang, Zhen
    Jiao, Xuejun
    Xu, Fengang
    Jiang, Jin
    Yang, Hanjun
    Cao, Yong
    Fu, Jiahao
    INTERNATIONAL CONFERENCE ON INNOVATIVE OPTICAL HEALTH SCIENCE, 2017, 0245
  • [10] Design of differential Near-Infrared Spectroscopy based Brain Machine Interface
    Matsuyama, H.
    Asama, H.
    Otake, M.
    RO-MAN 2009: THE 18TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2, 2009, : 818 - 823