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. 2023 Apr 3;61(9):2227–2240. doi: 10.1007/s11517-023-02802-5

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© The Author(s) 2023

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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Fig. 7 — Example of noise tracking. The top graph shows an original labelled excerpt that corresponds to 50 s taken from an LTM signal. It presents a transition from clean to noisy class, at approximately t = 28 s. The bottom graph shows the classification result obtained by the ML system