In the original article, there were two errors. In the text, the abbreviation for semitendinosus was omitted. In the text, the URL to the data repository available on Figshare was also incorrect.
Corrections have been made to Materials and Methods, Sub-section Instrumentation Setup, Paragraph one and Results, Paragraph one.
EMG signals were recorded using bipolar surface electrodes (DE2.1; Delsys, Boston, MA, USA) from the same seven muscles in each leg: tibialis anterior (TA), medial gastrocnemius (MG), soleus (SOL), vastus lateralis (VL), rectus femoris (RF), biceps femoris (BF), and semitendinosus (ST).
The data are saved in CSV format in subject-specific folders and are available to download from Figshare at https://doi.org/10.6084/m9.figshare.5362627.
The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Summary
Keywords
gait, locomotion, biomechanics, electromyography, benchmark
Citation
Hu B, Rouse E and Hargrove L (2018) Corrigendum: Benchmark Datasets for Bilateral Lower-Limb Neuromechanical Signals from Wearable Sensors during Unassisted Locomotion in Able-Bodied Individuals. Front. Robot. AI 5:127. doi: 10.3389/frobt.2018.00127
Received
12 September 2018
Accepted
26 October 2018
Published
20 November 2018
Volume
5 - 2018
Edited and reviewed by
Diego Torricelli, Consejo Superior de Investigaciones Científicas (CSIC), Spain
Updates
Copyright
© 2018 Hu, Rouse and Hargrove.
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: Blair Hu blairhu@u.northwestern.edu
This article was submitted to Biomedical Robotics, a section of the journal Frontiers in Robotics and AI
Disclaimer
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