PUBLIKATIONSSERVER

Nils Löwen

https://orcid.org/0000-0002-4864-4978

22 Publikationen

Alle markieren

[22]
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
 
[21]
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.)
 
[20]
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
 
[19]
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.)
 
[18]
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.)
 
[17]
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.)
 
[16]
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
 
[15]
2022 | Konferenzbeitrag | FH-PUB-ID: 3050 | OA
Vieth, M., Grimmelsmann, N., Schneider, A., & Hammer, B. (2022). Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In H. Yin, D. Camacho, & P. Tino (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (Vol. 13756, pp. 326–337). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21753-1_32
HSBI-PUB | DOI | Download (ext.)
 
[14]
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
 
[13]
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.)
 
[12]
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
 
[11]
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.)
 
[10]
2019 | Artikel | FH-PUB-ID: 589 | OA
Juhász Junger, I., Udomrungkhajornchai, S., Grimmelsmann, N., Blachowicz, T., & Ehrmann, A. (2019). Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency . Materials, 12(17). https://doi.org/10.3390/ma12172692
HSBI-PUB | Dateien verfügbar | DOI
 
[9]
2019 | Artikel | FH-PUB-ID: 572
Grimmelsmann, N., Döpke, C., Wehlage, S., & Ehrmann, A. (2019). Größte Häkelmaschine der Welt. Melliand Textilberichte, 100(2), 95–96.
HSBI-PUB | Download (ext.)
 
[8]
2019 | Artikel | FH-PUB-ID: 550
Grimmelsmann, N., Döpke, C., Wehlage, S., & Ehrmann, A. (2019). The largest crocheting machine in the world. Melliand International, 25(2), 99–100.
HSBI-PUB
 
[7]
2017 | Artikel | FH-PUB-ID: 347 | OA
Grothe, T., Löwen, N., Homburg, S. V., & Ehrmann, A. (2017). Possible applications of nano-spun fabrics and materials. Materials Today: Proceedings, 4, S. 154-S. 159.
HSBI-PUB | Download (ext.)
 
[6]
2017 | Buchbeitrag | FH-PUB-ID: 345
Grothe, T., Löwen, N., Homburg, S. V., & Ehrmann, A. (2017). Green electrospinning of nanofiber mats from biopolymers for medical and biotechnological applications. In Textiles: Advances in Research and Applications (pp. 115–131).
HSBI-PUB
 
[5]
2017 | Konferenzbeitrag | FH-PUB-ID: 328 | OA
Bier, M. C., Kohn, S., Stierand, A., Löwen, N., Homburg, S. V., Rattenholl, A., & Ehrmann, A. (2017). Investigation of eco-friendly casein fibre production methods. In IOP Conference Series: Materials Science and Engineering (Vol. 254). Bristol, GB et al.: Institute of Physics Publishing (IOP).
HSBI-PUB | Download (ext.)
 
[4]
2017 | Konferenzbeitrag | FH-PUB-ID: 333 | OA
Grimmelsmann, N., Homburg, S. V., & Ehrmann, A. (2017). Electrospinning chitosan blends for nonwovens with morphologies between nanofiber mat and membrane. In   Institute of Physics (Ed.), IOP Conference Series: Materials Science and Engineering (Vol. 213). London. https://doi.org/10.1088/1757-899X/213/1/012007
HSBI-PUB | DOI | Download (ext.)
 
[3]
2017 | Buchbeitrag | FH-PUB-ID: 322
Schal, P., Junger, I. J., Löwen, N., Meissner, H., & Ehrmann, A. (2017). Washing and abrasion resistance of conductive coatings for vital sensors. In Y. Kyosev, B. Mahltig, & A. Schwarz-Pfeiffer (Eds.), Narrow and Smart Textiles (pp. 241–250). Cham: Springer.
HSBI-PUB
 
[2]
2017 | Konferenzbeitrag | FH-PUB-ID: 325 | OA
Löwen, N., Grothe, T., Homburg, S. V., & Ehrmann, A. (2017). Electrospinning and stabilization of chitosan nanofiber mats. In IOP Conference Series: Materials Science and Engineering (Vol. 254). Bristol, GB et al.: Institute of Physics Publishing (IOP).
HSBI-PUB | Download (ext.)
 
[1]
2016 | Konferenzbeitrag | FH-PUB-ID: 359 | OA
Grimmelsmann, N., Meissner, H., & Ehrmann, A. (2016). 3D printed auxetic forms on knitted fabrics for adjustable permeability and mechanical properties. In IOP Conference Series: Materials Science and Engineering (Vol. 137). Bristol: IOP Publishing . https://doi.org/10.1088/1757-899X/137/1/012011
HSBI-PUB | DOI | Download (ext.)
 
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22 Publikationen

Alle markieren

[22]
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
 
[21]
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.)
 
[20]
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
 
[19]
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.)
 
[18]
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.)
 
[17]
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.)
 
[16]
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
 
[15]
2022 | Konferenzbeitrag | FH-PUB-ID: 3050 | OA
Vieth, M., Grimmelsmann, N., Schneider, A., & Hammer, B. (2022). Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In H. Yin, D. Camacho, & P. Tino (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (Vol. 13756, pp. 326–337). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-21753-1_32
HSBI-PUB | DOI | Download (ext.)
 
[14]
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
 
[13]
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.)
 
[12]
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
 
[11]
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.)
 
[10]
2019 | Artikel | FH-PUB-ID: 589 | OA
Juhász Junger, I., Udomrungkhajornchai, S., Grimmelsmann, N., Blachowicz, T., & Ehrmann, A. (2019). Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency . Materials, 12(17). https://doi.org/10.3390/ma12172692
HSBI-PUB | Dateien verfügbar | DOI
 
[9]
2019 | Artikel | FH-PUB-ID: 572
Grimmelsmann, N., Döpke, C., Wehlage, S., & Ehrmann, A. (2019). Größte Häkelmaschine der Welt. Melliand Textilberichte, 100(2), 95–96.
HSBI-PUB | Download (ext.)
 
[8]
2019 | Artikel | FH-PUB-ID: 550
Grimmelsmann, N., Döpke, C., Wehlage, S., & Ehrmann, A. (2019). The largest crocheting machine in the world. Melliand International, 25(2), 99–100.
HSBI-PUB
 
[7]
2017 | Artikel | FH-PUB-ID: 347 | OA
Grothe, T., Löwen, N., Homburg, S. V., & Ehrmann, A. (2017). Possible applications of nano-spun fabrics and materials. Materials Today: Proceedings, 4, S. 154-S. 159.
HSBI-PUB | Download (ext.)
 
[6]
2017 | Buchbeitrag | FH-PUB-ID: 345
Grothe, T., Löwen, N., Homburg, S. V., & Ehrmann, A. (2017). Green electrospinning of nanofiber mats from biopolymers for medical and biotechnological applications. In Textiles: Advances in Research and Applications (pp. 115–131).
HSBI-PUB
 
[5]
2017 | Konferenzbeitrag | FH-PUB-ID: 328 | OA
Bier, M. C., Kohn, S., Stierand, A., Löwen, N., Homburg, S. V., Rattenholl, A., & Ehrmann, A. (2017). Investigation of eco-friendly casein fibre production methods. In IOP Conference Series: Materials Science and Engineering (Vol. 254). Bristol, GB et al.: Institute of Physics Publishing (IOP).
HSBI-PUB | Download (ext.)
 
[4]
2017 | Konferenzbeitrag | FH-PUB-ID: 333 | OA
Grimmelsmann, N., Homburg, S. V., & Ehrmann, A. (2017). Electrospinning chitosan blends for nonwovens with morphologies between nanofiber mat and membrane. In   Institute of Physics (Ed.), IOP Conference Series: Materials Science and Engineering (Vol. 213). London. https://doi.org/10.1088/1757-899X/213/1/012007
HSBI-PUB | DOI | Download (ext.)
 
[3]
2017 | Buchbeitrag | FH-PUB-ID: 322
Schal, P., Junger, I. J., Löwen, N., Meissner, H., & Ehrmann, A. (2017). Washing and abrasion resistance of conductive coatings for vital sensors. In Y. Kyosev, B. Mahltig, & A. Schwarz-Pfeiffer (Eds.), Narrow and Smart Textiles (pp. 241–250). Cham: Springer.
HSBI-PUB
 
[2]
2017 | Konferenzbeitrag | FH-PUB-ID: 325 | OA
Löwen, N., Grothe, T., Homburg, S. V., & Ehrmann, A. (2017). Electrospinning and stabilization of chitosan nanofiber mats. In IOP Conference Series: Materials Science and Engineering (Vol. 254). Bristol, GB et al.: Institute of Physics Publishing (IOP).
HSBI-PUB | Download (ext.)
 
[1]
2016 | Konferenzbeitrag | FH-PUB-ID: 359 | OA
Grimmelsmann, N., Meissner, H., & Ehrmann, A. (2016). 3D printed auxetic forms on knitted fabrics for adjustable permeability and mechanical properties. In IOP Conference Series: Materials Science and Engineering (Vol. 137). Bristol: IOP Publishing . https://doi.org/10.1088/1757-899X/137/1/012011
HSBI-PUB | DOI | Download (ext.)
 
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Zitationsstil: APA

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