Freezing of Gait detection in Parkinson’s Disease using multi-modal data (EEG, EMG, IMU and Skin Conductance)

Temporal 3-Layer Resnet model using Pytorch:

Overview

FoG detection using IMU multivariate signal

FoG detection using EMG multivariate signal

Sub-directories and Files

There are two sub-directories described as follows::

images

Containes over all block diagram and visual results of predicted signal.

source

Contains source code for data read functions, multivariate signal preprocessing utilities, and a 3-layer temporal ResNet model for classification.

Dependencies

• python 3.7
• pandas 2.0.2
• torch 1.13.0
• scipy 1.9.3

Dataset

The data is downloaded from the link [https://data.mendeley.com/datasets/r8gmbtv7w2/3], which is referenced in the paper.

Reference

Multimodal Data for the Detection of Freezing of Gait in Parkinson’s Disease

@article{zhang2022multimodal,
  title={Multimodal Data for the Detection of Freezing of Gait in Parkinson’s Disease},
  author={Zhang, Wei and Yang, Zhuokun and Li, Hantao and Huang, Debin and Wang, Lipeng and Wei, Yanzhao and Zhang, Lei and Ma, Lin and Feng, Huanhuan and Pan, Jing and others},
  journal={Scientific Data},
  volume={9},
  number={1},
  pages={606},
  year={2022},
  publisher={Nature Publishing Group UK London}
}