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).
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Leserri, David ; Grimmelsmann, Nils ; Mechtenberg, Malte ; Meyer, Hanno Gerd ; Schneider, Axel: Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. In: Mathematics Bd. 10, MDPI AG (2022), Nr. 6
Leserri D, Grimmelsmann N, Mechtenberg M, Meyer HG, Schneider A. Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics. 2022;10(6). doi:10.3390/math10060932
Leserri, D., Grimmelsmann, N., Mechtenberg, M., Meyer, H. G., & Schneider, A. (2022). Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. Mathematics, 10(6). https://doi.org/10.3390/math10060932
@article{Leserri_Grimmelsmann_Mechtenberg_Meyer_Schneider_2022, title={Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network}, volume={10}, DOI={10.3390/math10060932}, number={6932}, journal={Mathematics}, publisher={MDPI AG}, author={Leserri, David and Grimmelsmann, Nils and Mechtenberg, Malte and Meyer, Hanno Gerd and Schneider, Axel}, year={2022} }
Leserri, David, Nils Grimmelsmann, Malte Mechtenberg, Hanno Gerd Meyer, and Axel Schneider. “Evaluation of SEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network.” Mathematics 10, no. 6 (2022). https://doi.org/10.3390/math10060932.
D. Leserri, N. Grimmelsmann, M. Mechtenberg, H. G. Meyer, and A. Schneider, “Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network,” Mathematics, vol. 10, no. 6, 2022.
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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