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. 2021 Jul 12;11:14301. doi: 10.1038/s41598-021-92776-x

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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/.

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Visualisation of the average gait signal through the LRP-CWT analysis framework. Representative average epochs (n=128 samples, 2.56 [s]) were first created using Dynamic Time Warping Barycenter Averaging (DBA) independently for sets of correctly classified epochs from HC, PwMSmild, and PwMSmod subject groups. (Pr; represents the DCNN posterior probability for that class).