Dataset: The perils and pitfalls of block design for EEG classification experiments

Citation Author(s):
Ren
Li
Purdue University, School of Electrical and Computer Engineering
Jared S.
Johansen
Purdue University, School of Electrical and Computer Engineering
Hamad
Ahmed
Purdue University, School of Electrical and Computer Engineering
Thomas V.
Ilyevsky
Purdue University, School of Electrical and Computer Engineering
Ronnie B.
Wilbur
Purdue University, Department of Speech, Language, and Hearing Sciences and Department of Linguistics
Hari M
Bharadwaj
Purdue University, Weldon School of Biomedical Engineering and Department of Speech, Language, and Hearing Sciences
Jeffrey Mark
Siskind
Purdue University, School of Electrical and Computer Engineering
Submitted by:
Jeffrey Siskind
Last updated:
Fri, 04/24/2020 - 16:39
DOI:
10.21227/x2gf-5324
Data Format:
License:
0
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Abstract 

Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence

"The perils and pitfalls of block design for EEG classification experiments"

The paper has been accepted and is in production.

We will upload the dataset when the paper is published.

This is a placeholder so we can obtain a DOI to include in the paper.

Instructions: 

See the paper "The perils and pitfalls of block design for EEG classification experiments" on IEEE Xplore.

Code for analyzing the dataset is included in the online supplementary materials for the paper.