14 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 | Kurzbeitrag Konferenz | FH-PUB-ID: 4833 |
Jünemann, Philipp, et al. “Comparative Study of a Parameter Tuned Bioinspired Binaural Sound Source Localization Algorithm and a Standard Beamformer.” Kongress KI@HSBI2023 Solutions Im Fokus - Posterbeiträge, edited by iDas - Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, no. 1, iDas - Institute for Data Science Solutions of HSBI, 2024, pp. 16–17, doi:https://doi.org/10.60802/sidas.2024.1.
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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
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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.
HSBI-PUB
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2023 | Artikel | FH-PUB-ID: 3328 |
Mechtenberg, Malte, and Axel Schneider. “A Method for the Estimation of a Motor Unit Innervation Zone Center Position Evaluated with a Computational SEMG Model.” Frontiers in Neurorobotics, vol. 17, Frontiers Media SA, 2023, doi:10.3389/fnbot.2023.1179224.
HSBI-PUB
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2023 | Konferenzbeitrag | FH-PUB-ID: 3777 |
Jünemann, Philipp, et al. “Comparative Study of a Bioinspired Sound Source Localization Algorithm and a Standard Beamformer.” Engineering for a Changing World : Proceedings; 60th ISC, Ilmenau Scientific Colloquium, ilmedia, 2023, doi:10.22032/DBT.59141.
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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.
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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.
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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
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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.
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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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14 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 | Kurzbeitrag Konferenz | FH-PUB-ID: 4833 |
Jünemann, Philipp, et al. “Comparative Study of a Parameter Tuned Bioinspired Binaural Sound Source Localization Algorithm and a Standard Beamformer.” Kongress KI@HSBI2023 Solutions Im Fokus - Posterbeiträge, edited by iDas - Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, no. 1, iDas - Institute for Data Science Solutions of HSBI, 2024, pp. 16–17, doi:https://doi.org/10.60802/sidas.2024.1.
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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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: 3328 |
Mechtenberg, Malte, and Axel Schneider. “A Method for the Estimation of a Motor Unit Innervation Zone Center Position Evaluated with a Computational SEMG Model.” Frontiers in Neurorobotics, vol. 17, Frontiers Media SA, 2023, doi:10.3389/fnbot.2023.1179224.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3777 |
Jünemann, Philipp, et al. “Comparative Study of a Bioinspired Sound Source Localization Algorithm and a Standard Beamformer.” Engineering for a Changing World : Proceedings; 60th ISC, Ilmenau Scientific Colloquium, ilmedia, 2023, doi:10.22032/DBT.59141.
HSBI-PUB
| DOI
| Download (ext.)
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 | 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.)