Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart, I Bloch

Research output: Contribution to journalArticle

Original languageEnglish (US)
Pages (from-to)311
Number of pages1
JournalBiomedical Signal Processing and Control
Volume38
StatePublished - Sep 1 2017

Cite this

@article{d02d0cf637b44005a01025e92ca207a3,
title = "Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels",
author = "Y Yang and S Chevallier and J Wiart and I Bloch",
year = "2017",
month = "9",
day = "1",
language = "English (US)",
volume = "38",
pages = "311",
journal = "Biomedical Signal Processing and Control",

}

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels. / Yang, Y; Chevallier, S; Wiart, J; Bloch, I.

In: Biomedical Signal Processing and Control, Vol. 38, 01.09.2017, p. 311.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

AU - Yang, Y

AU - Chevallier, S

AU - Wiart, J

AU - Bloch, I

PY - 2017/9/1

Y1 - 2017/9/1

M3 - Article

VL - 38

SP - 311

JO - Biomedical Signal Processing and Control

JF - Biomedical Signal Processing and Control

ER -