Prediction of Intermuscular Co-contraction Based on the sEMG of Only One Muscle With the Same Biomechanical Direction of Action
N. Grimmelsmann, M. Mechtenberg, M. Vieth, B. Hammer, A. Schneider, in: U. Kuhl (Ed.), Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches, DataNinja sAIOnARA Conference, 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
N. Grimmelsmann, M. Mechtenberg, A. Schneider, in: iDaS Institute for Data Science Solutions of HSBI, Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HS Solutions Im Fokus -Posterbeiträge-, Schriftenreihe des Institute for Data Science Solutions, Bielefeld, 2024, pp. 6–8.

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
N. 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.

Improvement of sEMG Exoskeleton Control Based on Prediction of the Myotendinous System State
M. Mechtenberg, N. Grimmelsmann, A. Schneider, in: iDaS Institute for Data Science Solutions of HSBI, Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HS Solutions Im Fokus -Posterbeiträge-, Bielefeld, 2024, pp. 24–25.

A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs
M. Mechtenberg, N. Grimmelsmann, 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. 629–636.

sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters
N. Grimmelsmann, M. Mechtenberg, W. Schenck, H.G. Meyer, A. Schneider, PLOS ONE 18 (2023).

Surface electromyographic recordings of the biceps and triceps brachii for various postures, motion velocities and load conditions
M. Mechtenberg, N. Grimmelsmann, H.G. Meyer, A. Schneider, Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions, FH Bielefeld, 2023.

Efficient Sensor Selection for Individualized Prediction Based on Biosignals
M. Vieth, N. Grimmelsmann, A. Schneider, B. Hammer, 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, Springer International Publishing, Cham, 2022, pp. 326–337.

Surface electromyographic recordings of the biceps and triceps brachii for various postures, motion velocities and load conditions
M. Mechtenberg, N. Grimmelsmann, H.G. Meyer, A. Schneider, Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions, FH Bielefeld, 2022.

Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging
M. Mechtenberg, N. Grimmelsmann, H.G. Meyer, A. Schneider, PLOS ONE 17 (2022).

2-D ultrasound videos of the distal biceps brachii myotendinous junction displacement over varying elbow angles and tendon loads
M. Mechtenberg, N. Grimmelsmann, H.G. Meyer, A. Schneider, 2-D Ultrasound Videos of the Distal Biceps Brachii Myotendinous Junction Displacement over Varying Elbow Angles and Tendon Loads, FH Bielefeld, 2022.

Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network
D. Leserri, N. Grimmelsmann, M. Mechtenberg, H.G. Meyer, A. Schneider, Mathematics 10 (2022).

 Effect of Caffeine Copigmentation of Anthocyanin Dyes on DSSC Efficiency 
I. Juhász Junger, S. Udomrungkhajornchai, N. Grimmelsmann, T. Blachowicz, A. Ehrmann, Materials 12 (2019).

 Größte Häkelmaschine der Welt
N. Grimmelsmann, C. Döpke, S. Wehlage, A. Ehrmann, Melliand Textilberichte 100 (2019) 95–96.

The largest crocheting machine in the world
N. Grimmelsmann, C. Döpke, S. Wehlage, A. Ehrmann, Melliand International 25 (2019) 99–100.

Possible applications of nano-spun fabrics and materials
T. Grothe, N. Löwen, S.V. Homburg, A. Ehrmann, Materials Today: Proceedings 4 (2017) S. 154-S. 159.

Green electrospinning of nanofiber mats from biopolymers for medical and biotechnological applications
T. Grothe, N. Löwen, S.V. Homburg, A. Ehrmann, in: Textiles: Advances in Research and Applications, 2017, pp. 115–131.

Investigation of eco-friendly casein fibre production methods
M.C. Bier, S. Kohn, A. Stierand, N. Löwen, S.V. Homburg, A. Rattenholl, A. Ehrmann, in: IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing (IOP), Bristol, GB et al., 2017.

Electrospinning chitosan blends for nonwovens with morphologies between nanofiber mat and membrane
N. Grimmelsmann, S.V. Homburg, A. Ehrmann, in:   Institute of Physics  (Ed.), IOP Conference Series: Materials Science and Engineering, London, 2017.

Washing and abrasion resistance of conductive coatings for vital sensors
P. Schal, I.J. Junger, N. Löwen, H. Meissner, A. Ehrmann, in: Y. Kyosev, B. Mahltig, A. Schwarz-Pfeiffer (Eds.), Narrow and Smart Textiles, Springer, Cham, 2017, pp. 241–250.