Analysis of the complexity of EEG during the short-term memory task

Masaki Ono, Hiroki Furusho, Keiji Iramina

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

2 Citations (Scopus)

Abstract

By using fractal dimension and sample entropy, we investigated the complexity electroencephalogram (EEG) during an activity that uses working memory. We conduct a short-term memory test and a calculation task and analyzed 1.0s EEG data from 4 phases (resting, encoding, retrieval and calculation phase). As a result, fractal dimension analysis can reflect the activity of the working memory better than sample entropy analysis. Moreover, in order to investigate the relationship between the fractal dimension value and the power of theta band (4-8 Hz) in the frontal region, we conducted a correlation coefficient analysis. The result showed that increase of the power of theta band and decrease of fractal dimension value has relatively high correlation. In conclusion, the activity of working memory in frontal part may be able to be captured by fractal dimension analysis.

Original languageEnglish
Title of host publicationBMEiCON 2015 - 8th Biomedical Engineering International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391580
DOIs
Publication statusPublished - Feb 4 2016
Event8th Biomedical Engineering International Conference, BMEiCON 2015 - Pattaya, Thailand
Duration: Nov 25 2015Nov 27 2015

Other

Other8th Biomedical Engineering International Conference, BMEiCON 2015
CountryThailand
CityPattaya
Period11/25/1511/27/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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