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14 Publikationen

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[14]
2024 | Konferenzbeitrag | FH-PUB-ID: 5050
Grimmelsmann, N., Mechtenberg, M., Vieth, M., Hammer, B., & 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.), Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches. Bielefeld: DataNinja sAIOnARA Conference. https://doi.org/10.11576/DATANINJA-1168
HSBI-PUB | DOI
 
[13]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 | OA
Mechtenberg, M., Grimmelsmann, N., & Schneider, A. (2024). Improvement of sEMG Exoskeleton Control Based on Prediction of the Myotendinous System State. In iDaS Institute for Data Science Solutions of HSBI & Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge- (Vol. 1, pp. 24–25). Bielefeld. https://doi.org/10.60802/SIDAS.2024.1
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[12]
2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg, M., Grimmelsmann, N., & Schneider, A. (2024). A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs. 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 (pp. 629–636). Rome, Italy: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012375100003657
HSBI-PUB | DOI | Download (ext.)
 
[11]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4833 | OA
Jünemann, P., Schneider, A., Waßmuth, J., & Mechtenberg, M. (2024). 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.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge (pp. 16–17). Bielefeld: iDas - Institute for Data Science Solutions of HSBI. https://doi.org/10.60802/sidas.2024.1
HSBI-PUB | DOI | Download (ext.)
 
[10]
2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann, N., Mechtenberg, M., Vieth, M., Schulz, A., Hammer, B., & Schneider, A. (2024). 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 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 (pp. 611–621). Rome, Italy: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012368700003657
HSBI-PUB | DOI
 
[9]
2024 | Konferenzbeitrag | FH-PUB-ID: 4832 | OA
Grimmelsmann, N., Mechtenberg, M., & 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 & Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge- (Vol. 1, pp. 6–8). Bielefeld: Schriftenreihe des Institute for Data Science Solutions. https://doi.org/ 10.60802/SIDAS.2024.1
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[8]
2023 | Datenpublikation | FH-PUB-ID: 2290 | OA
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2023). Surface electromyographic recordings of the biceps and triceps brachii for various postures, motion velocities and load conditions. FH Bielefeld. https://doi.org/10.57720/2290
HSBI-PUB | Dateien verfügbar | DOI
 
[7]
2023 | Artikel | FH-PUB-ID: 3328 | OA
Mechtenberg, M., & Schneider, A. (2023). A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. Frontiers in Neurorobotics, 17. https://doi.org/10.3389/fnbot.2023.1179224
HSBI-PUB | DOI | Download (ext.)
 
[6]
2023 | Konferenzbeitrag | FH-PUB-ID: 3777 | OA
Jünemann, P., Mechtenberg, M., Schneider, A., & Waßmuth, J. (2023). Comparative study of a bioinspired sound source localization algorithm and a standard beamformer. In Engineering for a Changing World : Proceedings; 60th ISC, Ilmenau Scientific Colloquium. Ilmenau: ilmedia. https://doi.org/10.22032/DBT.59141
HSBI-PUB | DOI | Download (ext.)
 
[5]
2023 | Artikel | FH-PUB-ID: 3453 | OA
Grimmelsmann, N., Mechtenberg, M., Schenck, W., Meyer, H. G., & Schneider, A. (2023). sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters. PLOS ONE, 18(8). https://doi.org/10.1371/journal.pone.0289549
HSBI-PUB | DOI | Download (ext.)
 
[4]
2022 | Datenpublikation | FH-PUB-ID: 2175
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). 2-D ultrasound videos of the distal biceps brachii myotendinous junction displacement over varying elbow angles and tendon loads. FH Bielefeld. https://doi.org/10.5281/zenodo.7081639
HSBI-PUB | Dateien verfügbar | DOI
 
[3]
2022 | Datenpublikation | FH-PUB-ID: 1956 | OA
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). Surface electromyographic recordings of the biceps and triceps brachii for various postures, motion velocities and load conditions. FH Bielefeld. https://doi.org/10.57720/1956
HSBI-PUB | Dateien verfügbar | DOI
 
[2]
2022 | Artikel | FH-PUB-ID: 2174 | OA
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging. PLOS ONE, 17(10). https://doi.org/10.1371/journal.pone.0275128
HSBI-PUB | DOI | Download (ext.)
 
[1]
2022 | Artikel | FH-PUB-ID: 1730 | OA
Leserri, D., Grimmelsmann, N., Mechtenberg, M., Meyer, H. G., & Schneider, A. (2022). Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics, 10(6). https://doi.org/10.3390/math10060932
HSBI-PUB | DOI | Download (ext.)
 

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14 Publikationen

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[14]
2024 | Konferenzbeitrag | FH-PUB-ID: 5050
Grimmelsmann, N., Mechtenberg, M., Vieth, M., Hammer, B., & 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.), Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches. Bielefeld: DataNinja sAIOnARA Conference. https://doi.org/10.11576/DATANINJA-1168
HSBI-PUB | DOI
 
[13]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 | OA
Mechtenberg, M., Grimmelsmann, N., & Schneider, A. (2024). Improvement of sEMG Exoskeleton Control Based on Prediction of the Myotendinous System State. In iDaS Institute for Data Science Solutions of HSBI & Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge- (Vol. 1, pp. 24–25). Bielefeld. https://doi.org/10.60802/SIDAS.2024.1
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[12]
2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg, M., Grimmelsmann, N., & Schneider, A. (2024). A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs. 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 (pp. 629–636). Rome, Italy: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012375100003657
HSBI-PUB | DOI | Download (ext.)
 
[11]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4833 | OA
Jünemann, P., Schneider, A., Waßmuth, J., & Mechtenberg, M. (2024). 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.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge (pp. 16–17). Bielefeld: iDas - Institute for Data Science Solutions of HSBI. https://doi.org/10.60802/sidas.2024.1
HSBI-PUB | DOI | Download (ext.)
 
[10]
2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann, N., Mechtenberg, M., Vieth, M., Schulz, A., Hammer, B., & Schneider, A. (2024). 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 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 (pp. 611–621). Rome, Italy: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012368700003657
HSBI-PUB | DOI
 
[9]
2024 | Konferenzbeitrag | FH-PUB-ID: 4832 | OA
Grimmelsmann, N., Mechtenberg, M., & 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 & Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge- (Vol. 1, pp. 6–8). Bielefeld: Schriftenreihe des Institute for Data Science Solutions. https://doi.org/ 10.60802/SIDAS.2024.1
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[8]
2023 | Datenpublikation | FH-PUB-ID: 2290 | OA
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2023). Surface electromyographic recordings of the biceps and triceps brachii for various postures, motion velocities and load conditions. FH Bielefeld. https://doi.org/10.57720/2290
HSBI-PUB | Dateien verfügbar | DOI
 
[7]
2023 | Artikel | FH-PUB-ID: 3328 | OA
Mechtenberg, M., & Schneider, A. (2023). A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. Frontiers in Neurorobotics, 17. https://doi.org/10.3389/fnbot.2023.1179224
HSBI-PUB | DOI | Download (ext.)
 
[6]
2023 | Konferenzbeitrag | FH-PUB-ID: 3777 | OA
Jünemann, P., Mechtenberg, M., Schneider, A., & Waßmuth, J. (2023). Comparative study of a bioinspired sound source localization algorithm and a standard beamformer. In Engineering for a Changing World : Proceedings; 60th ISC, Ilmenau Scientific Colloquium. Ilmenau: ilmedia. https://doi.org/10.22032/DBT.59141
HSBI-PUB | DOI | Download (ext.)
 
[5]
2023 | Artikel | FH-PUB-ID: 3453 | OA
Grimmelsmann, N., Mechtenberg, M., Schenck, W., Meyer, H. G., & Schneider, A. (2023). sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters. PLOS ONE, 18(8). https://doi.org/10.1371/journal.pone.0289549
HSBI-PUB | DOI | Download (ext.)
 
[4]
2022 | Datenpublikation | FH-PUB-ID: 2175
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). 2-D ultrasound videos of the distal biceps brachii myotendinous junction displacement over varying elbow angles and tendon loads. FH Bielefeld. https://doi.org/10.5281/zenodo.7081639
HSBI-PUB | Dateien verfügbar | DOI
 
[3]
2022 | Datenpublikation | FH-PUB-ID: 1956 | OA
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). Surface electromyographic recordings of the biceps and triceps brachii for various postures, motion velocities and load conditions. FH Bielefeld. https://doi.org/10.57720/1956
HSBI-PUB | Dateien verfügbar | DOI
 
[2]
2022 | Artikel | FH-PUB-ID: 2174 | OA
Mechtenberg, M., Grimmelsmann, N., Meyer, H. G., & Schneider, A. (2022). Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging. PLOS ONE, 17(10). https://doi.org/10.1371/journal.pone.0275128
HSBI-PUB | DOI | Download (ext.)
 
[1]
2022 | Artikel | FH-PUB-ID: 1730 | OA
Leserri, D., Grimmelsmann, N., Mechtenberg, M., Meyer, H. G., & Schneider, A. (2022). Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics, 10(6). https://doi.org/10.3390/math10060932
HSBI-PUB | DOI | Download (ext.)
 

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