The single-trial analysis of P300 and the difference threshold of modulated vibration

被引:1
|
作者
Department of Electoronic Engineering, University of Electro-Communications, 1-5-1, Chohugaoka, Chouhu 182-8585 [1 ]
不详 [2 ]
不详 [3 ]
不详 [4 ]
不详 [5 ]
不详 [6 ]
机构
来源
IEEJ Trans. Fundam. Mater. | 2006年 / 6卷 / 478-483期
关键词
Acoustic noise - Electroencephalography - Psychophysiology - Vibration measurement;
D O I
10.1541/ieejfms.126.478
中图分类号
学科分类号
摘要
This study reports the estimation of different-threshold (DT) when humans recognize various modulated vibrations using their tactile sensor. The modulated vibration consists of two frequency components. A psychological or the event related potential (ERP) measurement was used to estimate DT. ERP appears in an electro-encephalogram (EEG) when a human recognizes the information emitted by an external stimulus, and this study detects P300, which is a component of ERP. This paper proposes a single-trial analysis that uses the T-test, which deviates from the conventional method for detecting P300 called the averaged EEG method. Finally, the proposed method estimates DT. As a result, the effectiveness of the proposed method is assured by estimating DTs on five subjects.
引用
下载
收藏
相关论文
共 50 条
  • [31] P300 Based Single Trial Independent Component Analysis on EEG Signal
    Li, Kun
    Sankar, Ravi
    Arbel, Yael
    Donchin, Emanuel
    FOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGS: NEUROERGONOMICS AND OPERATIONAL NEUROSCIENCE, 2009, 5638 : 404 - +
  • [32] SOURCES OF P300 ATTENUATION AFTER HEAD-INJURY - SINGLE-TRIAL AMPLITUDE, LATENCY JITTER, AND EEG POWER
    UNSAL, A
    SEGALOWITZ, SJ
    PSYCHOPHYSIOLOGY, 1995, 32 (03) : 249 - 256
  • [33] A single channel-single trial P300 detection algorithm
    Haghighatpanah, Neda
    Amirfattahi, Rasoul
    Abootalebi, Vahid
    Nazari, Behzad
    2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2013,
  • [34] Single-trial stimuli classification from detected P300 for augmented Brain-Computer Interface: A deep learning approach
    Leoni, Jessica
    Strada, Silvia Carla
    Tanelli, Mara
    Brusa, Alessandra
    Proverbio, Alice Mado
    MACHINE LEARNING WITH APPLICATIONS, 2022, 9
  • [35] Method for enhancing single-trial P300 detection by introducing the complexity degree of image information in rapid serial visual presentation tasks
    Lin, Zhimin
    Zeng, Ying
    Tong, Li
    Zhang, Hangming
    Zhang, Chi
    Yan, Bin
    PLOS ONE, 2017, 12 (12):
  • [36] Using the Windowed Means Paradigm for Single Trial P300 Detection
    Vareka, Lukas
    Mautner, Pavel
    2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2015,
  • [37] An exploratory study of factors affecting single trial P300 detection
    Jansen, BH
    Allam, A
    Kota, P
    Lachance, K
    Osho, A
    Sundaresan, K
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (06) : 975 - 978
  • [38] Classification of P300 component in single trial event related potentials
    Gulcur, HO
    Yilmaz, YK
    Demiralp, T
    PROCEEDINGS OF THE 1998 2ND INTERNATIONAL CONFERENCE BIOMEDICAL ENGINEERING DAYS, 1998, : 48 - 50
  • [39] MODIFICATIONS OF UNSUPERVISED NEURAL NETWORKS FOR SINGLE TRIAL P300 DETECTION
    Vareka, L.
    Mautner, P.
    NEURAL NETWORK WORLD, 2018, 28 (01) : 1 - 16
  • [40] Single trial P300 detection based on the empirical mode decomposition
    Solis-Escalante, Teodoro
    Gentiletti, Gerardo Gabriel
    Yanez-Suarez, Oscar
    2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 2820 - +