Interpretable Models and Patterns for EEG data set

Abstract:

In this paper, we are using EEG data to establish a relationship between channel and frequency band in terms of visual activity through the human brain. The idea behind this method is that we are using SHAP as a tool to know how those different components are connected. We find accuracy in between 87–98% for each user for three different observations: (i) All channel, (ii) left channel, (iii) Right channel; and for that basic relationship is established.

Published in: 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA)

Date of Conference: 13-15 Sept. 2021

Date Added to IEEE Xplore: 03 November 2021

ISBN Information:

Electronic ISBN:978-1-6654-4283-1

USB ISBN:978-1-6654-4282-4

Print on Demand(PoD)

ISBN:978-1-6654-4284-8

DOI: 10.1109/DCNA53427.2021.9587086

Publisher: IEEE

Conference Location: Kaliningrad, Russian Federation

Citation

@INPROCEEDINGS{Islam2021,
  author={Islam, Robiul},
  booktitle={2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA)}, 
  title={Interpretable Models and Patterns for EEG data set}, 
  year={2021},
  volume={},
  number={},
  pages={87-91},
  doi={10.1109/DCNA53427.2021.9587086}}