22 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5050
Grimmelsmann, Nils, et al. “Prediction of Intermuscular Co-Contraction Based on the SEMG of Only One Muscle With the Same Biomechanical Direction of Action.” Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches, edited by Ulrike Kuhl, DataNinja sAIOnARA Conference, 2024, doi:10.11576/DATANINJA-1168.
HSBI-PUB
| DOI
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 | 
Mechtenberg, Malte, et al. “Improvement of SEMG Exoskeleton Control Based on Prediction of the Myotendinous System State.” Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, edited by iDaS Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, vol. 1, no. 1, 2024, pp. 24–25, doi:10.60802/SIDAS.2024.1.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg, Malte, et al. “A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous SEMGs.” Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, edited by Maria Pedro Guarino et al., SCITEPRESS - Science and Technology Publications, 2024, pp. 629–36, doi:10.5220/0012375100003657.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann, Nils, et al. “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.” Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, edited by Maria Pedro Guarino et al., SCITEPRESS - Science and Technology Publications, 2024, pp. 611–21, doi:10.5220/0012368700003657.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4832 |
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.” Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, 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: 10.60802/SIDAS.2024.1.
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2023 | Datenpublikation | FH-PUB-ID: 2290 |
Mechtenberg, Malte, et al. 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, Nils, et al. “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, vol. 18, no. 8, e0289549, Public Library of Science (PLoS), 2023, doi:10.1371/journal.pone.0289549.
HSBI-PUB
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2022 | Datenpublikation | FH-PUB-ID: 2175
Mechtenberg, Malte, et al. 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
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| DOI
2022 | Datenpublikation | FH-PUB-ID: 1956 |
Mechtenberg, Malte, et al. 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, Malte, et al. “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, vol. 17, no. 10, e0275128, Public Library of Science (PLoS), 2022, doi:10.1371/journal.pone.0275128.
HSBI-PUB
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2022 | Konferenzbeitrag | FH-PUB-ID: 3050 |
Vieth, Markus, et al. “Efficient Sensor Selection for Individualized Prediction Based on Biosignals.” Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin et al., vol. 13756, Springer International Publishing, 2022, pp. 326–37, doi:10.1007/978-3-031-21753-1_32.
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2022 | Artikel | FH-PUB-ID: 1730 |
Leserri, David, et al. “Evaluation of SEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network.” Mathematics, vol. 10, no. 6, 932, MDPI AG, 2022, doi:10.3390/math10060932.
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2019 | Artikel | FH-PUB-ID: 572
Grimmelsmann, Nils, et al. “ Größte Häkelmaschine der Welt.” Melliand Textilberichte, vol. 100, no. 2, Dfv, 2019, pp. 95–96.
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2019 | Artikel | FH-PUB-ID: 550
Grimmelsmann, Nils, et al. “The Largest Crocheting Machine in the World.” Melliand International, vol. 25, no. 2, Deutscher Fachverlag, 2019, pp. 99–100.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 589 |
Juhász Junger, Irén, et al. “ Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency .” Materials, vol. 12, no. 17, 2692, MDPI, 2019, doi:10.3390/ma12172692.
HSBI-PUB
| Dateien verfügbar
| DOI
2017 | Konferenzbeitrag | FH-PUB-ID: 333 |
Grimmelsmann, Nils, et al. “Electrospinning Chitosan Blends for Nonwovens with Morphologies between Nanofiber Mat and Membrane.” IOP Conference Series: Materials Science and Engineering, edited by Institute of Physics , vol. 213, 012007, 2017, doi:10.1088/1757-899X/213/1/012007.
HSBI-PUB
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2017 | Buchbeitrag | FH-PUB-ID: 322
Schal, P., et al. “Washing and Abrasion Resistance of Conductive Coatings for Vital Sensors.” Narrow and Smart Textiles, edited by Yordan Kyosev et al., Springer, 2017, pp. 241–50.
HSBI-PUB
2017 | Konferenzbeitrag | FH-PUB-ID: 325 |
Löwen, Nils, et al. “Electrospinning and Stabilization of Chitosan Nanofiber Mats.” IOP Conference Series: Materials Science and Engineering, vol. 254, Institute of Physics Publishing (IOP), 2017.
HSBI-PUB
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2017 | Konferenzbeitrag | FH-PUB-ID: 328 |
Bier, M. C., et al. “Investigation of Eco-Friendly Casein Fibre Production Methods.” IOP Conference Series: Materials Science and Engineering, vol. 254, Institute of Physics Publishing (IOP), 2017.
HSBI-PUB
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2017 | Artikel | FH-PUB-ID: 347 |
Grothe, Timo, et al. “Possible Applications of Nano-Spun Fabrics and Materials.” Materials Today: Proceedings, vol. 4, Elsevier, 2017, p. S. 154-S. 159.
HSBI-PUB
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2017 | Buchbeitrag | FH-PUB-ID: 345
Grothe, Timo, et al. “Green Electrospinning of Nanofiber Mats from Biopolymers for Medical and Biotechnological Applications.” Textiles: Advances in Research and Applications, 2017, pp. 115–31.
HSBI-PUB
2016 | Konferenzbeitrag | FH-PUB-ID: 359 |
Grimmelsmann, Nils, et al. “3D Printed Auxetic Forms on Knitted Fabrics for Adjustable Permeability and Mechanical Properties.” IOP Conference Series: Materials Science and Engineering, vol. 137, 012011, IOP Publishing , 2016, doi:10.1088/1757-899X/137/1/012011.
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22 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5050
Grimmelsmann, Nils, et al. “Prediction of Intermuscular Co-Contraction Based on the SEMG of Only One Muscle With the Same Biomechanical Direction of Action.” Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches, edited by Ulrike Kuhl, DataNinja sAIOnARA Conference, 2024, doi:10.11576/DATANINJA-1168.
HSBI-PUB
| DOI
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 |
Mechtenberg, Malte, et al. “Improvement of SEMG Exoskeleton Control Based on Prediction of the Myotendinous System State.” Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, edited by iDaS Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, vol. 1, no. 1, 2024, pp. 24–25, doi:10.60802/SIDAS.2024.1.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg, Malte, et al. “A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous SEMGs.” Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, edited by Maria Pedro Guarino et al., SCITEPRESS - Science and Technology Publications, 2024, pp. 629–36, doi:10.5220/0012375100003657.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann, Nils, et al. “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.” Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, edited by Maria Pedro Guarino et al., SCITEPRESS - Science and Technology Publications, 2024, pp. 611–21, doi:10.5220/0012368700003657.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4832 |
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.” Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, 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: 10.60802/SIDAS.2024.1.
HSBI-PUB
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| DOI
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2023 | Datenpublikation | FH-PUB-ID: 2290 |
Mechtenberg, Malte, et al. 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, Nils, et al. “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, vol. 18, no. 8, e0289549, Public Library of Science (PLoS), 2023, doi:10.1371/journal.pone.0289549.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Datenpublikation | FH-PUB-ID: 2175
Mechtenberg, Malte, et al. 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, Malte, et al. 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, Malte, et al. “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, vol. 17, no. 10, e0275128, Public Library of Science (PLoS), 2022, doi:10.1371/journal.pone.0275128.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 3050 |
Vieth, Markus, et al. “Efficient Sensor Selection for Individualized Prediction Based on Biosignals.” Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin et al., vol. 13756, Springer International Publishing, 2022, pp. 326–37, doi:10.1007/978-3-031-21753-1_32.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 1730 |
Leserri, David, et al. “Evaluation of SEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network.” Mathematics, vol. 10, no. 6, 932, MDPI AG, 2022, doi:10.3390/math10060932.
HSBI-PUB
| DOI
| Download (ext.)
2019 | Artikel | FH-PUB-ID: 572
Grimmelsmann, Nils, et al. “ Größte Häkelmaschine der Welt.” Melliand Textilberichte, vol. 100, no. 2, Dfv, 2019, pp. 95–96.
HSBI-PUB
| Download (ext.)
2019 | Artikel | FH-PUB-ID: 550
Grimmelsmann, Nils, et al. “The Largest Crocheting Machine in the World.” Melliand International, vol. 25, no. 2, Deutscher Fachverlag, 2019, pp. 99–100.
HSBI-PUB
2019 | Artikel | FH-PUB-ID: 589 |
Juhász Junger, Irén, et al. “ Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency .” Materials, vol. 12, no. 17, 2692, MDPI, 2019, doi:10.3390/ma12172692.
HSBI-PUB
| Dateien verfügbar
| DOI
2017 | Konferenzbeitrag | FH-PUB-ID: 333 |
Grimmelsmann, Nils, et al. “Electrospinning Chitosan Blends for Nonwovens with Morphologies between Nanofiber Mat and Membrane.” IOP Conference Series: Materials Science and Engineering, edited by Institute of Physics , vol. 213, 012007, 2017, doi:10.1088/1757-899X/213/1/012007.
HSBI-PUB
| DOI
| Download (ext.)
2017 | Buchbeitrag | FH-PUB-ID: 322
Schal, P., et al. “Washing and Abrasion Resistance of Conductive Coatings for Vital Sensors.” Narrow and Smart Textiles, edited by Yordan Kyosev et al., Springer, 2017, pp. 241–50.
HSBI-PUB
2017 | Konferenzbeitrag | FH-PUB-ID: 325 |
Löwen, Nils, et al. “Electrospinning and Stabilization of Chitosan Nanofiber Mats.” IOP Conference Series: Materials Science and Engineering, vol. 254, Institute of Physics Publishing (IOP), 2017.
HSBI-PUB
| Download (ext.)
2017 | Konferenzbeitrag | FH-PUB-ID: 328 |
Bier, M. C., et al. “Investigation of Eco-Friendly Casein Fibre Production Methods.” IOP Conference Series: Materials Science and Engineering, vol. 254, Institute of Physics Publishing (IOP), 2017.
HSBI-PUB
| Download (ext.)
2017 | Artikel | FH-PUB-ID: 347 |
Grothe, Timo, et al. “Possible Applications of Nano-Spun Fabrics and Materials.” Materials Today: Proceedings, vol. 4, Elsevier, 2017, p. S. 154-S. 159.
HSBI-PUB
| Download (ext.)
2017 | Buchbeitrag | FH-PUB-ID: 345
Grothe, Timo, et al. “Green Electrospinning of Nanofiber Mats from Biopolymers for Medical and Biotechnological Applications.” Textiles: Advances in Research and Applications, 2017, pp. 115–31.
HSBI-PUB
2016 | Konferenzbeitrag | FH-PUB-ID: 359 |
Grimmelsmann, Nils, et al. “3D Printed Auxetic Forms on Knitted Fabrics for Adjustable Permeability and Mechanical Properties.” IOP Conference Series: Materials Science and Engineering, vol. 137, 012011, IOP Publishing , 2016, doi:10.1088/1757-899X/137/1/012011.
HSBI-PUB
| DOI
| Download (ext.)