22 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5050
Grimmelsmann N, Mechtenberg M, Vieth M, Hammer B, Schneider A. Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action. In: Kuhl U, ed. Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches. DataNinja sAIOnARA Conference; 2024. doi:10.11576/DATANINJA-1168
HSBI-PUB
| DOI
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 |
Mechtenberg M, Grimmelsmann N, Schneider A. 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. Schriftenreihe des Institute for Data Science Solutions. Bielefeld; 2024:24-25. doi:10.60802/SIDAS.2024.1
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2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg M, Grimmelsmann N, Schneider A. A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs. In: Pedro Guarino M, Hotta K, Yousef M, et al., eds. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications; 2024:629-636. doi:10.5220/0012375100003657
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2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A. 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: Pedro Guarino M, Hotta K, Yousef M, et al., eds. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications; 2024:611-621. doi:10.5220/0012368700003657
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2024 | Konferenzbeitrag | FH-PUB-ID: 4832 |
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. Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-. Vol 1. Bielefeld: Schriftenreihe des Institute for Data Science Solutions; 2024:6-8. doi: 10.60802/SIDAS.2024.1
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2023 | Datenpublikation | FH-PUB-ID: 2290 |
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions. FH Bielefeld; 2023. doi:10.57720/2290
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2023 | Artikel | FH-PUB-ID: 3453 |
Grimmelsmann N, Mechtenberg M, Schenck W, Meyer HG, Schneider A. 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. 2023;18(8). doi:10.1371/journal.pone.0289549
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2022 | Datenpublikation | FH-PUB-ID: 2175
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. 2-D Ultrasound Videos of the Distal Biceps Brachii Myotendinous Junction Displacement over Varying Elbow Angles and Tendon Loads. FH Bielefeld; 2022. doi:10.5281/zenodo.7081639
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2022 | Datenpublikation | FH-PUB-ID: 1956 |
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions. FH Bielefeld; 2022. doi:10.57720/1956
HSBI-PUB
| Dateien verfügbar
| DOI
2022 | Artikel | FH-PUB-ID: 2174 |
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. 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. 2022;17(10). doi:10.1371/journal.pone.0275128
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2022 | Konferenzbeitrag | FH-PUB-ID: 3050 |
Vieth M, Grimmelsmann N, Schneider A, Hammer B. Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In: Yin H, Camacho D, Tino P, eds. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Vol 13756. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2022:326-337. doi:10.1007/978-3-031-21753-1_32
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2022 | Artikel | FH-PUB-ID: 1730 |
Leserri D, Grimmelsmann N, Mechtenberg M, Meyer HG, Schneider A. Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics. 2022;10(6). doi:10.3390/math10060932
HSBI-PUB
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2019 | Artikel | FH-PUB-ID: 572
Grimmelsmann N, Döpke C, Wehlage S, Ehrmann A. Größte Häkelmaschine der Welt. Melliand Textilberichte. 2019;100(2):95-96.
HSBI-PUB
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2019 | Artikel | FH-PUB-ID: 550
Grimmelsmann N, Döpke C, Wehlage S, Ehrmann A. The largest crocheting machine in the world. Melliand International. 2019;25(2):99-100.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 589 |
Juhász Junger I, Udomrungkhajornchai S, Grimmelsmann N, Blachowicz T, Ehrmann A. Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency . Materials. 2019;12(17). doi:10.3390/ma12172692
HSBI-PUB
| Dateien verfügbar
| DOI
2017 | Konferenzbeitrag | FH-PUB-ID: 333 |
Grimmelsmann N, Homburg SV, Ehrmann A. 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. IOP Conference Series: Materials Science and Engineering. London; 2017. doi:10.1088/1757-899X/213/1/012007
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2017 | Buchbeitrag | FH-PUB-ID: 322
Schal P, Junger IJ, Löwen N, Meissner H, Ehrmann A. Washing and abrasion resistance of conductive coatings for vital sensors. In: Kyosev Y, Mahltig B, Schwarz-Pfeiffer A, eds. Narrow and Smart Textiles. Narrow and Smart Textiles. Cham: Springer; 2017:241-250.
HSBI-PUB
2017 | Konferenzbeitrag | FH-PUB-ID: 325 |
Löwen N, Grothe T, Homburg SV, Ehrmann A. Electrospinning and stabilization of chitosan nanofiber mats. In: IOP Conference Series: Materials Science and Engineering. Vol 254. IOP Conference Series: Materials Science and Engineering. Bristol, GB et al.: Institute of Physics Publishing (IOP); 2017.
HSBI-PUB
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2017 | Konferenzbeitrag | FH-PUB-ID: 328 |
Bier MC, Kohn S, Stierand A, et al. Investigation of eco-friendly casein fibre production methods. In: IOP Conference Series: Materials Science and Engineering. Vol 254. IOP Conf. Series: Materials Science and Engineering. Bristol, GB et al.: Institute of Physics Publishing (IOP); 2017.
HSBI-PUB
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2017 | Artikel | FH-PUB-ID: 347 |
Grothe T, Löwen N, Homburg SV, Ehrmann A. Possible applications of nano-spun fabrics and materials. Materials Today: Proceedings. 2017;4:S. 154-S. 159.
HSBI-PUB
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2017 | Buchbeitrag | FH-PUB-ID: 345
Grothe T, Löwen N, Homburg SV, Ehrmann A. Green electrospinning of nanofiber mats from biopolymers for medical and biotechnological applications. In: Textiles: Advances in Research and Applications. Textiles: Advances in Research and Applications. ; 2017:115-131.
HSBI-PUB
2016 | Konferenzbeitrag | FH-PUB-ID: 359 |
Grimmelsmann N, Meissner H, Ehrmann A. 3D printed auxetic forms on knitted fabrics for adjustable permeability and mechanical properties. In: IOP Conference Series: Materials Science and Engineering. Vol 137. IOP Conference Series: Materials Science and Engineering. Bristol: IOP Publishing ; 2016. doi:10.1088/1757-899X/137/1/012011
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22 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5050
Grimmelsmann N, Mechtenberg M, Vieth M, Hammer B, Schneider A. Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action. In: Kuhl U, ed. Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches. DataNinja sAIOnARA Conference; 2024. doi:10.11576/DATANINJA-1168
HSBI-PUB
| DOI
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 |
Mechtenberg M, Grimmelsmann N, Schneider A. 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. Schriftenreihe des Institute for Data Science Solutions. Bielefeld; 2024:24-25. doi:10.60802/SIDAS.2024.1
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg M, Grimmelsmann N, Schneider A. A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs. In: Pedro Guarino M, Hotta K, Yousef M, et al., eds. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications; 2024:629-636. doi:10.5220/0012375100003657
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A. 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: Pedro Guarino M, Hotta K, Yousef M, et al., eds. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications; 2024:611-621. doi:10.5220/0012368700003657
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4832 |
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. Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-. Vol 1. Bielefeld: Schriftenreihe des Institute for Data Science Solutions; 2024:6-8. doi: 10.60802/SIDAS.2024.1
HSBI-PUB
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2023 | Datenpublikation | FH-PUB-ID: 2290 |
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions. FH Bielefeld; 2023. doi:10.57720/2290
HSBI-PUB
| Dateien verfügbar
| DOI
2023 | Artikel | FH-PUB-ID: 3453 |
Grimmelsmann N, Mechtenberg M, Schenck W, Meyer HG, Schneider A. 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. 2023;18(8). doi:10.1371/journal.pone.0289549
HSBI-PUB
| DOI
| Download (ext.)
2022 | Datenpublikation | FH-PUB-ID: 2175
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. 2-D Ultrasound Videos of the Distal Biceps Brachii Myotendinous Junction Displacement over Varying Elbow Angles and Tendon Loads. FH Bielefeld; 2022. doi:10.5281/zenodo.7081639
HSBI-PUB
| Dateien verfügbar
| DOI
2022 | Datenpublikation | FH-PUB-ID: 1956 |
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions. FH Bielefeld; 2022. doi:10.57720/1956
HSBI-PUB
| Dateien verfügbar
| DOI
2022 | Artikel | FH-PUB-ID: 2174 |
Mechtenberg M, Grimmelsmann N, Meyer HG, Schneider A. 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. 2022;17(10). doi:10.1371/journal.pone.0275128
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 3050 |
Vieth M, Grimmelsmann N, Schneider A, Hammer B. Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In: Yin H, Camacho D, Tino P, eds. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Vol 13756. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2022:326-337. doi:10.1007/978-3-031-21753-1_32
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 1730 |
Leserri D, Grimmelsmann N, Mechtenberg M, Meyer HG, Schneider A. Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics. 2022;10(6). doi:10.3390/math10060932
HSBI-PUB
| DOI
| Download (ext.)
2019 | Artikel | FH-PUB-ID: 572
Grimmelsmann N, Döpke C, Wehlage S, Ehrmann A. Größte Häkelmaschine der Welt. Melliand Textilberichte. 2019;100(2):95-96.
HSBI-PUB
| Download (ext.)
2019 | Artikel | FH-PUB-ID: 550
Grimmelsmann N, Döpke C, Wehlage S, Ehrmann A. The largest crocheting machine in the world. Melliand International. 2019;25(2):99-100.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 589 |
Juhász Junger I, Udomrungkhajornchai S, Grimmelsmann N, Blachowicz T, Ehrmann A. Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency . Materials. 2019;12(17). doi:10.3390/ma12172692
HSBI-PUB
| Dateien verfügbar
| DOI
2017 | Konferenzbeitrag | FH-PUB-ID: 333 |
Grimmelsmann N, Homburg SV, Ehrmann A. 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. IOP Conference Series: Materials Science and Engineering. London; 2017. doi:10.1088/1757-899X/213/1/012007
HSBI-PUB
| DOI
| Download (ext.)
2017 | Buchbeitrag | FH-PUB-ID: 322
Schal P, Junger IJ, Löwen N, Meissner H, Ehrmann A. Washing and abrasion resistance of conductive coatings for vital sensors. In: Kyosev Y, Mahltig B, Schwarz-Pfeiffer A, eds. Narrow and Smart Textiles. Narrow and Smart Textiles. Cham: Springer; 2017:241-250.
HSBI-PUB
2017 | Konferenzbeitrag | FH-PUB-ID: 325 |
Löwen N, Grothe T, Homburg SV, Ehrmann A. Electrospinning and stabilization of chitosan nanofiber mats. In: IOP Conference Series: Materials Science and Engineering. Vol 254. IOP Conference Series: Materials Science and Engineering. Bristol, GB et al.: Institute of Physics Publishing (IOP); 2017.
HSBI-PUB
| Download (ext.)
2017 | Konferenzbeitrag | FH-PUB-ID: 328 |
Bier MC, Kohn S, Stierand A, et al. Investigation of eco-friendly casein fibre production methods. In: IOP Conference Series: Materials Science and Engineering. Vol 254. IOP Conf. Series: Materials Science and Engineering. Bristol, GB et al.: Institute of Physics Publishing (IOP); 2017.
HSBI-PUB
| Download (ext.)
2017 | Artikel | FH-PUB-ID: 347 |
Grothe T, Löwen N, Homburg SV, Ehrmann A. Possible applications of nano-spun fabrics and materials. Materials Today: Proceedings. 2017;4:S. 154-S. 159.
HSBI-PUB
| Download (ext.)
2017 | Buchbeitrag | FH-PUB-ID: 345
Grothe T, Löwen N, Homburg SV, Ehrmann A. Green electrospinning of nanofiber mats from biopolymers for medical and biotechnological applications. In: Textiles: Advances in Research and Applications. Textiles: Advances in Research and Applications. ; 2017:115-131.
HSBI-PUB
2016 | Konferenzbeitrag | FH-PUB-ID: 359 |
Grimmelsmann N, Meissner H, Ehrmann A. 3D printed auxetic forms on knitted fabrics for adjustable permeability and mechanical properties. In: IOP Conference Series: Materials Science and Engineering. Vol 137. IOP Conference Series: Materials Science and Engineering. Bristol: IOP Publishing ; 2016. doi:10.1088/1757-899X/137/1/012011
HSBI-PUB
| DOI
| Download (ext.)