EEG-based mental task classification in hypnotized and normal subjects

Soroosh Solhjoo; Ali Motie Nasrabadi; Mohammad Reza Hashemi Golpayegani

doi:10.1109/iembs.2005.1616858

EEG-based mental task classification in hypnotized and normal subjects

Soroosh Solhjoo^*, Ali Motie Nasrabadi, Mohammad Reza Hashemi Golpayegani

^*Corresponding author for this work

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

21 Scopus citations

Abstract

EEG-Based mental task classification is an approach to understand the processes in our brain which lead to our thoughts and behavior. Different mental tasks have been used for this purpose and we have chosen relaxation and imagination for our study. As well as normal conscious state, we have considered mental tasks performed in hypnosis which is defined as a state of consciousness with high concentration. To assess nonlinear dynamics, we have considered fractal dimension in addition to frequency features. HMM classifiers have been used for classification. Results show the most important features in EEG signal related to mentioned mental tasks as well as differences between normal and hypnotic states of the brain.

Original language	English
Title of host publication	Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2041-2043
Number of pages	3
ISBN (Print)	0780387406, 9780780387409
DOIs	https://doi.org/10.1109/iembs.2005.1616858
State	Published - 2005
Externally published	Yes
Event	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: 1 Sep 2005 → 4 Sep 2005

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	7 VOLS
ISSN (Print)	0589-1019

Conference

Conference	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/Territory	China
City	Shanghai
Period	1/09/05 → 4/09/05

Access to Document

10.1109/iembs.2005.1616858

Cite this

Solhjoo, S., Nasrabadi, A. M., & Golpayegani, M. R. H. (2005). EEG-based mental task classification in hypnotized and normal subjects. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 2041-2043). Article 1616858 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iembs.2005.1616858

Solhjoo, Soroosh ; Nasrabadi, Ali Motie ; Golpayegani, Mohammad Reza Hashemi. / EEG-based mental task classification in hypnotized and normal subjects. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. Institute of Electrical and Electronics Engineers Inc., 2005. pp. 2041-2043 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

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title = "EEG-based mental task classification in hypnotized and normal subjects",

abstract = "EEG-Based mental task classification is an approach to understand the processes in our brain which lead to our thoughts and behavior. Different mental tasks have been used for this purpose and we have chosen relaxation and imagination for our study. As well as normal conscious state, we have considered mental tasks performed in hypnosis which is defined as a state of consciousness with high concentration. To assess nonlinear dynamics, we have considered fractal dimension in addition to frequency features. HMM classifiers have been used for classification. Results show the most important features in EEG signal related to mentioned mental tasks as well as differences between normal and hypnotic states of the brain.",

author = "Soroosh Solhjoo and Nasrabadi, {Ali Motie} and Golpayegani, {Mohammad Reza Hashemi}",

year = "2005",

doi = "10.1109/iembs.2005.1616858",

language = "English",

isbn = "0780387406",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2041--2043",

booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",

note = "2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 ; Conference date: 01-09-2005 Through 04-09-2005",

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Solhjoo, S, Nasrabadi, AM & Golpayegani, MRH 2005, EEG-based mental task classification in hypnotized and normal subjects. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1616858, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, Institute of Electrical and Electronics Engineers Inc., pp. 2041-2043, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 1/09/05. https://doi.org/10.1109/iembs.2005.1616858

EEG-based mental task classification in hypnotized and normal subjects. / Solhjoo, Soroosh; Nasrabadi, Ali Motie; Golpayegani, Mohammad Reza Hashemi.
Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. Institute of Electrical and Electronics Engineers Inc., 2005. p. 2041-2043 1616858 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

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

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AB - EEG-Based mental task classification is an approach to understand the processes in our brain which lead to our thoughts and behavior. Different mental tasks have been used for this purpose and we have chosen relaxation and imagination for our study. As well as normal conscious state, we have considered mental tasks performed in hypnosis which is defined as a state of consciousness with high concentration. To assess nonlinear dynamics, we have considered fractal dimension in addition to frequency features. HMM classifiers have been used for classification. Results show the most important features in EEG signal related to mentioned mental tasks as well as differences between normal and hypnotic states of the brain.

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Solhjoo S, Nasrabadi AM, Golpayegani MRH. EEG-based mental task classification in hypnotized and normal subjects. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. Institute of Electrical and Electronics Engineers Inc. 2005. p. 2041-2043. 1616858. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/iembs.2005.1616858

EEG-based mental task classification in hypnotized and normal subjects

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