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Grimmelsmann, M. Mechtenberg, M. Vieth, B. Hammer, and A. Schneider, “Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action,” in <i>Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches</i>, Bielefeld, 2024.","alphadin":"<span style=\"font-variant:small-caps;\">Grimmelsmann, Nils</span> ; <span style=\"font-variant:small-caps;\">Mechtenberg, Malte</span> ; <span style=\"font-variant:small-caps;\">Vieth, Markus</span> ; <span style=\"font-variant:small-caps;\">Hammer, Barbara</span> ; <span style=\"font-variant:small-caps;\">Schneider, Axel</span>: Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action. In: <span style=\"font-variant:small-caps;\">Kuhl, U.</span> (Hrsg.): <i>Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches</i> : DataNinja sAIOnARA Conference, 2024","bibtex":"@inproceedings{Grimmelsmann_Mechtenberg_Vieth_Hammer_Schneider_2024, title={Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action}, DOI={<a href=\"https://doi.org/10.11576/DATANINJA-1168\">10.11576/DATANINJA-1168</a>}, booktitle={Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches}, publisher={DataNinja sAIOnARA Conference}, author={Grimmelsmann, Nils and Mechtenberg, Malte and Vieth, Markus and Hammer, Barbara and Schneider, Axel}, editor={Kuhl, Ulrike Editor}, year={2024} }","apa":"Grimmelsmann, N., Mechtenberg, M., Vieth, M., Hammer, B., &#38; Schneider, A. (2024). Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action. In U. Kuhl (Ed.), <i>Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches</i>. Bielefeld: DataNinja sAIOnARA Conference. <a href=\"https://doi.org/10.11576/DATANINJA-1168\">https://doi.org/10.11576/DATANINJA-1168</a>"},"author":[{"full_name":"Grimmelsmann, Nils","orcid":"0000-0002-4864-4978","last_name":"Grimmelsmann","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4864-4978/work/169755559","id":"214493","first_name":"Nils"},{"first_name":"Malte","id":"218573","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8958-0931/work/169755560","orcid":"0000-0002-8958-0931","full_name":"Mechtenberg, Malte","last_name":"Mechtenberg"},{"first_name":"Markus","last_name":"Vieth","full_name":"Vieth, Markus"},{"first_name":"Barbara","full_name":"Hammer, Barbara","last_name":"Hammer"},{"orcid":"0000-0002-6632-3473","full_name":"Schneider, Axel","last_name":"Schneider","first_name":"Axel","id":"213480","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-6632-3473/work/169755561"}],"conference":{"name":"DataNinja sAIOnARA 2024 Conference","location":"Bielefeld","end_date":"2024-06-27","start_date":"2024-06-25"},"status":"public","doi":"10.11576/DATANINJA-1168","publisher":"DataNinja sAIOnARA Conference","date_updated":"2026-03-17T15:29:12Z","year":"2024","editor":[{"full_name":"Kuhl, Ulrike ","last_name":"Kuhl","first_name":"Ulrike "}],"_id":"5050","language":[{"iso":"eng"}]},{"_id":"4832","year":"2024","language":[{"iso":"eng"}],"doi":" 10.60802/SIDAS.2024.1","intvolume":"         1","date_updated":"2026-03-17T15:29:07Z","publisher":"Schriftenreihe des Institute for Data Science Solutions","page":"6-8","citation":{"ieee":"N. Grimmelsmann, M. Mechtenberg, and A. 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>, Bielefeld, 2024, vol. 1, no. 2024, pp. 6–8.","apa":"Grimmelsmann, N., Mechtenberg, M., &#38; Schneider, A. (2024). 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 &#38; Hochschule Bielefeld (Eds.), <i>Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge-</i> (Vol. 1, pp. 6–8). 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Mechtenberg, A. Schneider, in: iDaS Institute for Data Science Solutions of HSBI, Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, Schriftenreihe des Institute for Data Science Solutions, Bielefeld, 2024, pp. 6–8.","ama":"Grimmelsmann N, Mechtenberg M, Schneider A. 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>","mla":"Grimmelsmann, Nils, et al. “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.” <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, vol. 1, no. 2024, Schriftenreihe des Institute for Data Science Solutions, 2024, pp. 6–8, doi:<a href=\"https://doi.org/ 10.60802/SIDAS.2024.1\"> 10.60802/SIDAS.2024.1</a>."},"author":[{"last_name":"Grimmelsmann","full_name":"Grimmelsmann, Nils","orcid":"0000-0002-4864-4978","id":"214493","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-4864-4978/work/163637503","first_name":"Nils"},{"first_name":"Malte","id":"218573","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8958-0931/work/163637504","orcid":"0000-0002-8958-0931","full_name":"Mechtenberg, Malte","last_name":"Mechtenberg"},{"first_name":"Axel","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-6632-3473/work/163637505","id":"213480","last_name":"Schneider","orcid":"0000-0002-6632-3473","full_name":"Schneider, Axel"}],"place":"Bielefeld","status":"public","conference":{"location":"Bielefeld","name":"Kongress KI@HSBI2023 Solutions im Fokus","end_date":"2023-11-30","start_date":"2023-11-30"},"publication":"Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge-","issue":"2024","oa":"1","project":[{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"publication_identifier":{"issn":["2943-3509"]},"type":"conference","main_file_link":[{"url":"https://doi.org/10.60802/sidas.2024.1","open_access":"1"}],"corporate_editor":["iDaS Institute for Data Science Solutions of HSBI","Hochschule Bielefeld"],"user_id":"220548","date_created":"2024-07-15T10:50:17Z","related_material":{"link":[{"url":"https://journals.hsbi.de/sidas/article/view/53","relation":"original"}]},"title":"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","volume":1,"department":[{"_id":"103"}]},{"year":"2024","_id":"4833","language":[{"iso":"eng"}],"doi":"https://doi.org/10.60802/sidas.2024.1","page":"16-17","publisher":"iDas - Institute for Data Science Solutions of HSBI","date_updated":"2026-03-17T15:29:07Z","place":"Bielefeld","citation":{"ama":"Jünemann P, Schneider A, Waßmuth J, Mechtenberg M. Comparative Study of a Parameter Tuned Bioinspired Binaural Sound Source Localization Algorithm and a Standard Beamformer. In: iDas - Institute for Data Science Solutions of HSBI, Hochschule Bielefeld, eds. <i>Kongress KI@HSBI2023 Solutions Im Fokus - Posterbeiträge</i>. Bielefeld: iDas - Institute for Data Science Solutions of HSBI; 2024:16-17. doi:<a href=\"https://doi.org/10.60802/sidas.2024.1\">https://doi.org/10.60802/sidas.2024.1</a>","mla":"Jünemann, Philipp, et al. “Comparative Study of a Parameter Tuned Bioinspired Binaural Sound Source Localization Algorithm and a Standard Beamformer.” <i>Kongress KI@HSBI2023 Solutions Im Fokus - Posterbeiträge</i>, edited by iDas - Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, no. 1, iDas - Institute for Data Science Solutions of HSBI, 2024, pp. 16–17, doi:<a href=\"https://doi.org/10.60802/sidas.2024.1\">https://doi.org/10.60802/sidas.2024.1</a>.","short":"P. Jünemann, A. Schneider, J. Waßmuth, M. 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Grimmelsmann, M. Mechtenberg, M. Vieth, A. Schulz, B. Hammer, A. Schneider, in: M. Pedro Guarino, K. Hotta, M. Yousef , H. Liu , G. Saggio , A. Fred, H. Gamboa  (Eds.), Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, 2024, pp. 611–621.","chicago":"Grimmelsmann, Nils, Malte Mechtenberg, Markus Vieth, Alexander Schulz, Barbara Hammer, and Axel Schneider. “Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks.” In <i>Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies</i>, edited by Maria   Pedro Guarino, Kazuhiro  Hotta, Malik  Yousef , Hui  Liu , Giovanni  Saggio , Ana  Fred, and Hugo  Gamboa , 611–21. 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In: <i>PLOS ONE</i> Bd. 17, Public Library of Science (PLoS) (2022), Nr. 10"},"author":[{"id":"218573","first_name":"Malte","last_name":"Mechtenberg","full_name":"Mechtenberg, Malte","orcid":"0000-0002-8958-0931"},{"last_name":"Grimmelsmann","full_name":"Grimmelsmann, Nils","orcid":"0000-0002-4864-4978","id":"214493","first_name":"Nils"},{"first_name":"Hanno Gerd","id":"231466","orcid":"0000-0003-2454-3897","full_name":"Meyer, Hanno Gerd","last_name":"Meyer"},{"full_name":"Schneider, Axel","orcid":"0000-0002-6632-3473","last_name":"Schneider","id":"213480","first_name":"Axel"}],"status":"public","article_number":"e0275128","_id":"2174","year":"2022","language":[{"iso":"eng"}]},{"title":"2-D ultrasound videos of the distal biceps brachii myotendinous junction displacement over varying elbow angles and tendon loads","date_created":"2022-11-03T14:54:59Z","related_material":{"link":[{"relation":"research_data","url":"https://doi.org/10.5281/zenodo.7081639"}]},"keyword":["biceps brachii distal tendon displacement","biceps brachii distal tendon","myotendinous junction","biceps brachii","2-D ultrasound videos","ultrasound","tendon"],"type":"research_data","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"project":[{"name":"CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie","_id":"72dfeb62-b436-11ed-9513-f39505d26204"},{"name":"TransCareTech - Transformation in Care & Technology","_id":"edf53067-b368-11ed-bde2-9f34a4102af5"},{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"user_id":"213480","doi":"10.5281/zenodo.7081639","publisher":"FH Bielefeld","date_updated":"2026-03-17T15:28:30Z","citation":{"ama":"Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. <i>2-D Ultrasound Videos of the Distal Biceps Brachii Myotendinous Junction Displacement over Varying Elbow Angles and Tendon Loads</i>. 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Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. <i>Mathematics</i>, <i>10</i>(6). <a href=\"https://doi.org/10.3390/math10060932\">https://doi.org/10.3390/math10060932</a>","alphadin":"<span style=\"font-variant:small-caps;\">Leserri, David</span> ; <span style=\"font-variant:small-caps;\">Grimmelsmann, Nils</span> ; <span style=\"font-variant:small-caps;\">Mechtenberg, Malte</span> ; <span style=\"font-variant:small-caps;\">Meyer, Hanno Gerd</span> ; <span style=\"font-variant:small-caps;\">Schneider, Axel</span>: Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. In: <i>Mathematics</i> Bd. 10, MDPI AG (2022), Nr. 6","ieee":"D. Leserri, N. Grimmelsmann, M. Mechtenberg, H. G. Meyer, and A. 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