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从音乐刺激的脑电图中检测精神状态和情绪

Mental state and emotion detection from musically stimulated EEG.

作者信息

Tandle Avinash L, Joshi Manjusha S, Dharmadhikari Ambrish S, Jaiswal Suyog V

机构信息

NMIMS University, Mumbai-56, India.

Mpower The Foundation, Mumbai, India.

出版信息

Brain Inform. 2018 Nov 29;5(2):14. doi: 10.1186/s40708-018-0092-z.

Abstract

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.

摘要

本文献综述旨在阐明使用脑电图(EEG)模式研究音乐刺激对人类大脑影响时所考虑的不同方法。通过此类研究的各个方面,特别是实验方案、EEG机器、所研究的通道数量、提取的特征、情绪类别、脑区、脑电波、统计测试、用于已开发模型分类和验证的机器学习算法,来审视该领域。本文评论了这些不同方法如何具有特定的优缺点。最终,本综述总结出一种研究音乐刺激对大脑影响的合适方法以及此类研究的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4532/6429168/ca22cf7f7b61/40708_2018_92_Fig1_HTML.jpg

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