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Predicting the Extent of Co-Activation of One Muscle Head by sEMG-Measurements from the Other Muscle Head of the Biceps Brachii Using Linear Regression and Shallow Feedforward Neural Networks. In: iDaS Institute for Data Science Solutions of HSBI, Hochschule Bielefeld, eds. <i>Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-</i>. Vol 1. Bielefeld: Schriftenreihe des Institute for Data Science Solutions; 2024:6-8. doi:<a href=\"https://doi.org/ 10.60802/SIDAS.2024.1\"> 10.60802/SIDAS.2024.1</a>","chicago":"Grimmelsmann, Nils, Malte Mechtenberg, and Axel Schneider. “Predicting the Extent of Co-Activation of One Muscle Head by SEMG-Measurements from the Other Muscle Head of the Biceps Brachii Using Linear Regression and Shallow Feedforward Neural Networks.” In <i>Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-</i>, edited by iDaS Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, 1:6–8. 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