Mental state and emotion detection from musically stimulated EEG
| Autor: | Suyog Vijay Jaiswal, Manjusha Joshi, Avinash Tandle, Ambrish S. Dharmadhikari |
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| Rok vydání: | 2018 |
| Předmět: |
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Cognitive Neuroscience 0206 medical engineering Review 02 engineering and technology Electroencephalography lcsh:Computer applications to medicine. Medical informatics Field (computer science) 03 medical and health sciences 0302 clinical medicine Machine learning Feature (machine learning) medicine EEG Statistical hypothesis testing lcsh:Computer software Emotion Protocol (science) Modality (human–computer interaction) medicine.diagnostic_test 020601 biomedical engineering Computer Science Applications lcsh:QA76.75-76.765 Neurology comic_strips.comic_strip lcsh:R858-859.7 Psychology Literature survey Brainwaves Music 030217 neurology & neurosurgery Cognitive psychology |
| Zdroj: | Brain Informatics Brain Informatics, Vol 5, Iss 2, Pp 1-13 (2018) |
| ISSN: | 2198-4026 2198-4018 |
| DOI: | 10.1186/s40708-018-0092-z |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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