On association study of scalp EEG data channels under different circumstances

Jingyi Zheng, Mingli Liang, Arne Ekstrom, Linqiang Ge, Wei Yu, Fushing Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain using different electrodes, which are considered as the EEG channels that are placed on scalp. In this paper, we propose an effective information processing approach to explore the association among EEG channels under different circumstances. Particularly, we design four different experimental scenarios and record the EEG signals under motions of eye-opening and body-movement. With sequences of data collected in time order, we first compute the mutual conditional entropy to measure the association between two electrodes. Using the hierarchical clustering tree and data mechanics algorithm, we could effectively identify the association between particular EEG channels under certain motion scenarios. We also implement the weighted random forest to further classify the classes (experimental scenarios) of the EEG time series. Our evaluation results show that we could successfully classify the particular motions with given EEG data series.

Original languageEnglish (US)
Title of host publicationWireless Algorithms, Systems, and Applications - 13th International Conference, WASA 2018, Proceedings
EditorsWei Cheng, Wei Li, Sriram Chellappan
PublisherSpringer-Verlag
Pages683-695
Number of pages13
ISBN (Print)9783319942674
DOIs
StatePublished - 2018
Externally publishedYes
Event13th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2018 - Tianjin, China
Duration: Jun 20 2018Jun 22 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10874 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2018
Country/TerritoryChina
CityTianjin
Period6/20/186/22/18

Keywords

  • Algorithm design
  • EEG channels
  • Information processing
  • Mutual conditional entropy
  • Weighted random forest

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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