Project Details
Hybrid Models for High-precision sEMG-based Joint Torque / Movement Prediciton for Wearable Robotics
Applicant
Professor Dr. Axel Schneider
Subject Area
Biomedical Systems Technology
Term
from 2018 to 2023
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 398081449
Final Report Year
2023
Final Report Abstract
The JuMP project has produced a new, application-oriented, hybrid sEMG-based motion prediction model (domain model) that is easily adaptable to users despite its high parameter count. This domain model was contrasted with a black-box motion prediction model based on different sEMG features. Both types of models will be integrated in a further step. For the myotendinous actuator, as part of an improved motion prediction model, two approaches were proposed to determine the length distribution between muscle and tendon, one based on ultrasonic imaging and the other based on tracking the innervation zone center position of a muscle using a beamforming-like algorithm.
Publications
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2-D Ultrasound Videos of the Distal Biceps Brachii Myotendinous Junction Displacement over Varying Elbow Angles and Tendon Loads (1.0.0), Data Publication, Zenodo.
Mechtenberg, M., Grimmelsmann, N., Meyer & H.G. Schneider, A.
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Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics, 10(6), 932.
Leserri, David; Grimmelsmann, Nils; Mechtenberg, Malte; Meyer, Hanno Gerd & Schneider, Axel
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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), e0275128.
Mechtenberg, Malte; Grimmelsmann, Nils; Meyer, Hanno Gerd & Schneider, Axel
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Surface Electromyographic Recordings of the Biceps and Triceps Brachii for Various Postures, Motion Velocities and Load Conditions, Data Publication, Bielefeld University of Applied Sciences and Arts.
Mechtenberg, M., Grimmelsmann, N., Meyer & H.G. Schneider, A.
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A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. Frontiers in Neurorobotics, 17.
Mechtenberg, Malte & Schneider, Axel
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Direction-of-arrival estimation for acoustic signals based on direction-dependent parameter tuning of a bioinspired binaural coupling system. Bioinspiration & Biomimetics, 18(5), 056004.
Jünemann, Philipp; Schneider, Axel & Waßmuth, Joachim
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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), e0289549.
Grimmelsmann, Nils; Mechtenberg, Malte; Schenck, Wolfram; Meyer, Hanno Gerd & Schneider, Axel
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UAS-Embedded-Systems-Biomechatronics/EMG-concentrated-currentsources: v0.2.1 (v0.2.1), Software Publication, Zenodo.
Mechtenberg, M.
