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This repository contains Python code used for the extraction and clustering of muscle and kinematic synergies from preprocessed EMG data, as described in the research paper . The data was initially imported from Vicon c3d files.

Home Page: https://www.sciencedirect.com/science/article/abs/pii/S0021929022000537?via%3Dihub

Python 100.00%
autoencoder c3d cluster-analysis kinematic-analysis motion-analysis motor-learning muscle-synergies nnmf vicon-nexus emg-data-preprocessing

importing-and-preprocessing-vicon-data--extrating-synergies's Introduction

Importing c3d file from Vicon- Preprocess EMG and kinematic data - Extracting muscle and kinematic synergies

This repository contains code for the paper titled "The association between motor modules and movement primitives of gait: A muscle and kinematic synergy study(https://www.sciencedirect.com/science/article/abs/pii/S0021929022000537?via%3Dihub)", published in [Journal of Biomechanics, 2022].

Introduction

This project deals with the importation and preprocessing of data from Vicon c3d files. We preprocessed the Electromyography (EMG) data and kinematic data, extracted muscle and kinematic synergies, and performed a clustering analysis on them.

Data

The data used for this project is derived from Vicon c3d files. This data contains EMG and kinematic data which is preprocessed and analysed.

Workflow

  1. Data Importation: The raw data was imported from Vicon c3d files.
  2. Data Preprocessing: The imported EMG and kinematic data was preprocessed to facilitate further analysis.
  3. Extraction of Synergies: Muscle and kinematic synergies were extracted from the preprocessed data.
  4. Clustering: The extracted synergies were then subjected to clustering analysis.

Code Usage

Paper Citation

If you use this code or data in your research, please cite our paper:

@article{ESMAEILI2022110997, title = {The association between motor modules and movement primitives of gait: A muscle and kinematic synergy study}, journal = {Journal of Biomechanics}, volume = {134}, pages = {110997}, year = {2022}, issn = {0021-9290}, doi = {https://doi.org/10.1016/j.jbiomech.2022.110997}, url = {https://www.sciencedirect.com/science/article/pii/S0021929022000537}, }

Contact

For any additional questions or comments, please contact Sina Esmaeili(mailto:[email protected])

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