EEG-Based Spectral Analysis Showing Brainwave Changes Related to Modulating Progressive Fatigue During a Prolonged Intermittent Motor Task
- 1Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, United States
- 2Department of Physical Medicine and Rehabilitation, Rutgers Biomedical Health Sciences, Newark, NJ, United States
A corrigendum on
EEG-Based Spectral Analysis Showing Brainwave Changes Related to Modulating Progressive Fatigue During a Prolonged Intermittent Motor Task
by Suviseshamuthu, E. S., Shenoy Handiru, V., Allexandre, D., Hoxha, A., Saleh, S., and Yue, G. H. (2022). Front. Hum. Neurosci. 16:770053. doi: 10.3389/fnhum.2022.770053
In the published article, there was an error. Equation (2) is incorrect.
A correction has been made to Data Analysis, Statistical Framework, Paragraph Two. This sentence previously stated: Therefore, the ERSP analyses and the results reported here are based on the log-transformed ERSP in Equation (2) and its time-averaged quantity in Equation (3), both expressed in decibels (dBs):
where
and r denotes the cardinality of the set R of steady- or post-contraction time points.
The corrected sentence appears below: Therefore, the ERSP analyses and the results reported here are based on the log-transformed ERSP in Equation (2) and its time-averaged quantity in Equation (3), both expressed in decibels (dBs):
where
⊘ denotes Hadamard division, and r is the cardinality of the set R of steady- or post-contraction time points.
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.
Keywords: EEG, fatigue, maximum voluntary contraction, motor cortex, power spectral density, submaximal muscle contraction, time-frequency analysis, elbow flexion
Citation: Suviseshamuthu ES, Shenoy Handiru V, Allexandre D, Hoxha A, Saleh S and Yue GH (2022) Corrigendum: EEG-based spectral analysis showing brainwave changes related to modulating progressive fatigue during a prolonged intermittent motor task. Front. Hum. Neurosci. 16:958768. doi: 10.3389/fnhum.2022.958768
Received: 01 June 2022; Accepted: 10 June 2022;
Published: 17 August 2022.
Edited and reviewed by: George Alexandrakis, University of Texas at Arlington, United States
Copyright © 2022 Suviseshamuthu, Shenoy Handiru, Allexandre, Hoxha, Saleh and Yue. 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.
*Correspondence: Easter S. Suviseshamuthu, ZXNlbHZhbiYjeDAwMDQwO2tlc3NsZXJmb3VuZGF0aW9uLm9yZw==