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
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