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Mental state and emotion detection from musically stimulated EEG
This literature survey attempts to clarify different approaches considered to study the impact of the musical stimulus on the human brain using EEG Modality. Glancing at the field through various aspects of such studies specifically an experimental protocol, the EEG machine, number of channels inves...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429168/ https://www.ncbi.nlm.nih.gov/pubmed/30499008 http://dx.doi.org/10.1186/s40708-018-0092-z |
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author | Tandle, Avinash L. Joshi, Manjusha S. Dharmadhikari, Ambrish S. Jaiswal, Suyog V. |
author_facet | Tandle, Avinash L. Joshi, Manjusha S. Dharmadhikari, Ambrish S. Jaiswal, Suyog V. |
author_sort | Tandle, Avinash L. |
collection | PubMed |
description | This literature survey attempts to clarify different approaches considered to study the impact of the musical stimulus on the human brain using EEG Modality. Glancing at the field through various aspects of such studies specifically an experimental protocol, the EEG machine, number of channels investigated, feature extracted, categories of emotions, the brain area, the brainwaves, statistical tests, machine learning algorithms used for classification and validation of the developed model. This article comments on how these different approaches have particular weaknesses and strengths. Ultimately, this review concludes a suitable method to study the impact of the musical stimulus on brain and implications of such kind of studies. |
format | Online Article Text |
id | pubmed-6429168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-64291682019-03-22 Mental state and emotion detection from musically stimulated EEG Tandle, Avinash L. Joshi, Manjusha S. Dharmadhikari, Ambrish S. Jaiswal, Suyog V. Brain Inform Review This literature survey attempts to clarify different approaches considered to study the impact of the musical stimulus on the human brain using EEG Modality. Glancing at the field through various aspects of such studies specifically an experimental protocol, the EEG machine, number of channels investigated, feature extracted, categories of emotions, the brain area, the brainwaves, statistical tests, machine learning algorithms used for classification and validation of the developed model. This article comments on how these different approaches have particular weaknesses and strengths. Ultimately, this review concludes a suitable method to study the impact of the musical stimulus on brain and implications of such kind of studies. Springer Berlin Heidelberg 2018-11-29 /pmc/articles/PMC6429168/ /pubmed/30499008 http://dx.doi.org/10.1186/s40708-018-0092-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Tandle, Avinash L. Joshi, Manjusha S. Dharmadhikari, Ambrish S. Jaiswal, Suyog V. Mental state and emotion detection from musically stimulated EEG |
title | Mental state and emotion detection from musically stimulated EEG |
title_full | Mental state and emotion detection from musically stimulated EEG |
title_fullStr | Mental state and emotion detection from musically stimulated EEG |
title_full_unstemmed | Mental state and emotion detection from musically stimulated EEG |
title_short | Mental state and emotion detection from musically stimulated EEG |
title_sort | mental state and emotion detection from musically stimulated eeg |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429168/ https://www.ncbi.nlm.nih.gov/pubmed/30499008 http://dx.doi.org/10.1186/s40708-018-0092-z |
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