Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention

Dong Young Kim; Jae Wook Heo; Young Tak Kim; Jung Bin Kim; Dong Joo Kim

doi:10.1109/ICCE-Asia57006.2022.9954710

Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention

Dong Young Kim, Jae Wook Heo, Young Tak Kim, Jung Bin Kim, Dong Joo Kim

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

Abstract

Multivariate multiscale entropy (MMSE) is one measure to measure the amount of information in a random signal. The amount of information contained in electroencephalogram (EEG) signals that vary depending on auditory input and state was measured using MMSE in this study. As a result, the MMSE value rises not only when rehearsal of a given sentence is performed, but also when a non-semantic sentence is given, and appropriate noise is mixed in with the input sentence. As a result of these findings, this study proposes a method for quantitatively analyzing various cognitive models.

Original language	English
Title of host publication	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665464345
DOIs	https://doi.org/10.1109/ICCE-Asia57006.2022.9954710
Publication status	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 - Yeosu, Korea, Republic of Duration: 2022 Oct 26 → 2022 Oct 28

Publication series

Name	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022

Conference

Conference	2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Country/Territory	Korea, Republic of
City	Yeosu
Period	22/10/26 → 22/10/28

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

EEG
Information processing
MMSE

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Media Technology
Instrumentation

Access to Document

10.1109/ICCE-Asia57006.2022.9954710

Cite this

Kim, D. Y., Heo, J. W., Kim, Y. T., Kim, J. B., & Kim, D. J. (2022). Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention. In 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Asia57006.2022.9954710

Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention. / Kim, Dong Young; Heo, Jae Wook; Kim, Young Tak et al.
2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022).

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

Kim, DY, Heo, JW, Kim, YT, Kim, JB & Kim, DJ 2022, Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention. in 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022, Yeosu, Korea, Republic of, 22/10/26. https://doi.org/10.1109/ICCE-Asia57006.2022.9954710

Kim DY, Heo JW, Kim YT, Kim JB, Kim DJ. Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention. In 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022). doi: 10.1109/ICCE-Asia57006.2022.9954710

Kim, Dong Young ; Heo, Jae Wook ; Kim, Young Tak et al. / Cognitive modeling using multivariate multiscale entropy analysis of EEG : entropy changes according to auditory inputs and the level of attention. 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022).

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AB - Multivariate multiscale entropy (MMSE) is one measure to measure the amount of information in a random signal. The amount of information contained in electroencephalogram (EEG) signals that vary depending on auditory input and state was measured using MMSE in this study. As a result, the MMSE value rises not only when rehearsal of a given sentence is performed, but also when a non-semantic sentence is given, and appropriate noise is mixed in with the input sentence. As a result of these findings, this study proposes a method for quantitatively analyzing various cognitive models.

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Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this