End-to-end role assigned convolutional neural network

This repo holds code for "Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network," ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9054359)

Requirements

This was originally written, and heavily relies on using:

• python >= 3.7
• scipy >= 1.5.2
• pytorch >= 1.6

Dataset Info.

The dataset used in this study has been extended as:

• Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions, GigaScience, Volume 9, Issue 10, October 2020, giaa098 (https://doi.org/10.1093/gigascience/giaa098)

• Repository

  • http://gigadb.org/dataset/100788