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. 2021 Jun 29;18:105. doi: 10.1186/s12984-021-00888-2

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 7 — Description of the surface electromyography (sEMG) methodology. The presence or absence of the description of the sEMG equipment or electrodes, the amplification or filtering procedures, the detailed placement of electrodes (or proper citations) and the type of findings (qualitative: based on visual sEMG graph analysis; semi-quantitative: based on scores of the sEMG pattern; quantitative). Equip. sEMG equipment, Elect. sEMG electrode, Filt. sEMG hardware or digital filtering, Plac. electrode placement on muscles, Find. sEMG outcomes, FFT Fast Fourier transform, PSD Power Spectral Density, MDF median frequency, RMS root mean square