Published June 19, 2023 | Version v0.0.1

Supplementary Material: A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model

Authors/Creators

  • 1. Biomechatronics and Embedded Systems Group, Bielefeld University of Applied Sciences and Arts, Bielefeld, Germany

Description

This repository contains supplementary data for the journal paper:

Mechtenberg M and Schneider A (2023) A method for the estimation of a motor unit innervation zone center position  evaluated with a computational sEMG model. Front. Neurorobot. 17:1179224. doi:  10.3389/fnbot.2023.1179224

It contains the configuration files for the simulator used in that publication [1]. These configuration files are to be found in the archive EMG_model_configs.zip.


The files IP_tracking_opt_res.json and IP_tracking_opt_res.pkl contain the same information but in different file formats. In these files the results of the optimization described in the corresponding paper are stored.

For each optimization condition the optimal parameters for the innervation point tracking algorithm are stored, as well as the error score for all calculated parameter combinations.

 

[1] Mechtenberg, Malte. (2023). UAS-Embedded-Systems-Biomechatronics/EMG-concentrated-current-sources: v0.2.1 (v0.2.1). Zenodo. https://doi.org/10.5281/zenodo.7995152

Files

EMG_model_configs.zip

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Additional details

References

  • Mechtenberg, Malte. (2023). UAS-Embedded-Systems-Biomechatronics/EMG-concentrated-current-sources: v0.2.1 (v0.2.1). Zenodo. https://doi.org/10.5281/zenodo.7995152
  • Mechtenberg M and Schneider A (2023) A method for the estimation of a motor unit innervation zone center position evaluated with a computational sEMG model. Front. Neurorobot. 17:1179224. doi: 10.3389/fnbot.2023.1179224