Front. Hum. Neurosci. Frontiers in Human Neuroscience Front. Hum. Neurosci. 1662-5161 Frontiers Media S.A. 10.3389/fnhum.2023.1205419 Human Neuroscience Correction Corrigendum: Review of public motor imagery and execution datasets in brain-computer interfaces Gwon Daeun 1 Won Kyungho 2 Song Minseok 1 Nam Chang S. 3 4 Jun Sung Chan 2 5 Ahn Minkyu 1 6 * 1Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea 2School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea 3Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United States 4Department of Industrial and Management Systems Engineering, Kyung Hee University, Yongin-si, Republic of Korea 5AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea 6School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea

Edited and reviewed by: Gernot R. Müller-Putz, Graz University of Technology, Austria

 *Correspondence: Minkyu Ahn minkyuahn@handong.edu 17 05 2023 2023 17 1205419 13 04 2023 03 05 2023 Copyright © 2023 Gwon, Won, Song, Nam, Jun and Ahn. 2023 Gwon, Won, Song, Nam, Jun and Ahn

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

 A corrigendum on Review of public motor imagery and execution datasets in brain-computer interfaces by Gwon, D., Won, K., Song, M., Nam, C. S., Jun, S. C., and Ahn, M. (2023). Front. Hum. Neurosci. 17:1134869. doi: 10.3389/fnhum.2023.1134869 brain-computer interface (BCI) motor imagery motor execution public dataset data quality meta-analysis section-at-acceptance Brain-Computer Interfaces

In the published article, there were errors in affiliations 1 and 5. Instead of “School of Electrical Engineering and Computer Science, Handong Global University, Pohang-si, Republic of Korea” and “AI Graudate School, Gwangju Institute of Science and Technology, Gwangu, Republic of Korea”, it should be “Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea” and “AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea”.

In the original article, there were errors in Table 1. The mark “*” was incorrectly used for the dataset “Cho et al., 2017*” in the column “References”, the “*” should be removed. The Num. of electrodes of the dataset “Zhou, 2020” was “26,41” and the sampling rate of the dataset “Ahn et al., 2013a” was “512,500” which may cause misreading. The texts should be “Cho et al., 2017”, “512, 500” and “26, 41”. The corrected Table 1 appears below.

Public and environmental specifications of motor imagery/execution datasets (–: no information provided).

Public specifications Environmental specifications Essential specifications
References Resources Num. of citations Device Num. of electrodes Extra electrode Electrode setting Sampling rate (Hz) Data format Signal continuity Event type Event latency Channels
Motor imagery Stieger et al., 2021 Scientific data 11 Neuroscan SynAmps 64 Cursor 10-10 1,000 mat x o o o
Motor imagery, Motor execution Jeong et al., 2020* Deep BCI, Gigascience 25 BrainProduct BrainAmp 60 EOG, EMG – 2,500 mat o o o o
Motor imagery Zhou, 2020 IEEE DataPort – Neuroscan SynAmps2 26, 41 EOG – 500 npz o o o o
Wu, 2020 IEEE DataPort – Neuroscan SynAmps2 122 ear-EEG 10-20 1,000 dat o o o o
Ma et al., 2020 Scientific data 11 Neuroscan SynAmps2 64 EOG, EMG – 1,000 mat, cnt o o o o
Lee et al., 2019 Deep BCI, Gigascience, MOABB 171 BrainProduct BrainAmp 62 EMG 10–20 1,000 mat o o o o
Kim et al., 2018 Deep BCI 113 BrainProduct BrainAmp 30 – – 250 vhdr o o o o
Motor imagery, Motor execution Kaya et al., 2018* Scientific data 84 Neurofax EEG-1200 19 – 10–20 200 mat o o o o
Ofner et al., 2017* BNCI Horizon, MOABB 147 g.tec USBamp 61 EOG, EMG – 512 gdf o o o o
Motor imagery Cho et al., 2017 Deep BCI, MOABB, Gigascience 172 Biosemi 64 EMG 10–20 512 mat x o o o
Lee et al., 2016 Deep BCI 14 BrainProduct BrainAmp 70 EOG, EMG 10–20 1,000 vhdr o x o o
Shin et al., 2017 MOABB 135 BrainProduct BrainAmp 30 NIRS, EOG, ECG 10–5 1,000 mat o o o o
Zhou et al., 2016 MOABB 32 – 14 – 10–20 250 cnt o x o o
Steyrl et al., 2016 BNCI Horizon, MOABB 93 g.tec USBamp 15 – 10–10 512 mat o o o x
Yi et al., 2014 MOABB 46 Neuroscan SynAmps2 64 – 10–20 1,000 mat x o x x
Ahn et al., 2013a Deep BCI 82 Biosemi, BrainProduct BrainAmp 19 – 10–10 512, 500 mat Δ Δ Δ Δ
Faller et al., 2012 BNCI Horizon, MOABB 138 g.tec USBamp 13 – 10–5 512 mat o o o x
Tangermann et al., 2012 BNCI Horizon, MOABB 652 - 22 EOG 10–20 250 gdf o o o o
Grosse-Wentrup et al., 2009 MOABB 178 BrainProduct BrainAmp 128 – 10–20 500 set o o o o
Leeb et al., 2007 BNCI Horizon, MOABB 486 g.tec Usama 3 (Central) EOG – 250 mat o o o o
Motor imagery, Motor execution Schalk et al., 2004* MOABB 2,915 – 64 – 10–20 160 edf o o o o
Motor execution Schwarz et al., 2020 BNCI Horizon 19 g.tec USBamp 58 EOG, Force-sensing resistor sensor – 256 mat o o o o
Schwarz et al., 2020 BNCI Horizon 19 EEG-VersatileTM system 32 EOG, photodiode sensor – 256 mat o o o o
Schwarz et al., 2020 BNCI Horizon 19 EEG-HeroTM headset 11 photodiode sensor 10–20 256 mat o o o o
Wagner et al., 2019 Scientific data 8 g.tec USBamp 108 EMG, EOG, goniometers 10–20 512 set o o o o
Brantley et al., 2018 Scientific data 20 BrainProduct BrainAmp 60 EOG, EMG 10–20 1,000 mat o – – o
Luciw et al., 2014 Scientific data 87 BrainProduct BrainAmp 64 EMG – 500 mat o – – o

For essential specifications, o: satisfied, Δ: partially satisfied and x: unsatisfied.

*These datasets contain both motor imagery and execution paradigm.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.