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

Masaki Ono; Hiroki Furusho; Keiji Iramina

doi:10.1109/BMEiCON.2015.7399576

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

Masaki Ono, Hiroki Furusho, Keiji Iramina

Intelligence Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 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 language	English
Title of host publication	BMEiCON 2015 - 8th Biomedical Engineering International Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467391580
DOIs	https://doi.org/10.1109/BMEiCON.2015.7399576
Publication status	Published - Feb 4 2016
Event	8th Biomedical Engineering International Conference, BMEiCON 2015 - Pattaya, Thailand Duration: Nov 25 2015 → Nov 27 2015

Other

Other	8th Biomedical Engineering International Conference, BMEiCON 2015
Country/Territory	Thailand
City	Pattaya
Period	11/25/15 → 11/27/15

All Science Journal Classification (ASJC) codes

Biomedical Engineering

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10.1109/BMEiCON.2015.7399576

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Ono, M, Furusho, H & Iramina, K 2016, Analysis of the complexity of EEG during the short-term memory task. in BMEiCON 2015 - 8th Biomedical Engineering International Conference., 7399576, Institute of Electrical and Electronics Engineers Inc., 8th Biomedical Engineering International Conference, BMEiCON 2015, Pattaya, Thailand, 11/25/15. https://doi.org/10.1109/BMEiCON.2015.7399576

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title = "Analysis of the complexity of EEG during the short-term memory task",

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.",

author = "Masaki Ono and Hiroki Furusho and Keiji Iramina",

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booktitle = "BMEiCON 2015 - 8th Biomedical Engineering International Conference",

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note = "8th Biomedical Engineering International Conference, BMEiCON 2015 ; Conference date: 25-11-2015 Through 27-11-2015",

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T1 - Analysis of the complexity of EEG during the short-term memory task

AU - Ono, Masaki

AU - Furusho, Hiroki

AU - Iramina, Keiji

PY - 2016/2/4

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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T2 - 8th Biomedical Engineering International Conference, BMEiCON 2015

Y2 - 25 November 2015 through 27 November 2015

ER -

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

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