A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model
M. Mechtenberg, A. Schneider, Frontiers in Neurorobotics 17 (2023).
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Motion predictions for limbs can be performed using commonly called Hill-based muscle models. For this type of models, a surface electromyogram (sEMG) of the muscle serves as an input signal for the activation of the muscle model. However, the Hill model needs additional information about the mechanical system state of the muscle (current length, velocity, etc.) for a reliable prediction of the muscle force generation and, hence, the prediction of the joint motion. One feature that contains potential information about the state of the muscle is the position of the center of the innervation zone. This feature can be further extracted from the sEMG. To find the center, a wavelet-based algorithm is proposed that localizes motor unit potentials in the individual channels of a single-column sEMG array and then identifies innervation point candidates. In the final step, these innervation point candidates are clustered in a density-based manner. The center of the largest cluster is the estimated center of the innervation zone. The algorithm has been tested in a simulation. For this purpose, an sEMG simulator was developed and implemented that can compute large motor units (1,000's of muscle fibers) quickly (within seconds on a standard PC).
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Frontiers in Neurorobotics
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17
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Mechtenberg, Malte ; Schneider, Axel: A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. In: Frontiers in Neurorobotics Bd. 17, Frontiers Media SA (2023)
Mechtenberg M, Schneider A. A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. Frontiers in Neurorobotics. 2023;17. doi:10.3389/fnbot.2023.1179224
Mechtenberg, M., & Schneider, A. (2023). A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. Frontiers in Neurorobotics, 17. https://doi.org/10.3389/fnbot.2023.1179224
@article{Mechtenberg_Schneider_2023, title={A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model}, volume={17}, DOI={10.3389/fnbot.2023.1179224}, journal={Frontiers in Neurorobotics}, publisher={Frontiers Media SA}, author={Mechtenberg, Malte and Schneider, Axel}, year={2023} }
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 17 (2023). https://doi.org/10.3389/fnbot.2023.1179224.
M. Mechtenberg and A. 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, 2023.
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.