EEG-Driven Approach to Improve Academic Performance via Auditory Brainwave Entrainment Techniques

As the most intelligent species, humans possess highly developed cognitive abilities facilitated by complex neural mechanisms. Our brains generate electrical signals in response to sensory inputs and experiences. Audiovisual Entrainment (AVE) techniques leverage this neuroplasticity, allowing external stimuli to modulate brain wave patterns. This approach has shown potential in addressing various neurological conditions, alleviating stress and anxiety, and enhancing cognitive performance and overall well-being. Brain-Computer Interface (BCI) technologies enable direct monitoring and analysis of neural activity through non-invasive methods like Electroencephalography (EEG). EEG provides a cost-effective and practical solution for recording brain wave patterns during cognitive tasks, facilitating insights into neurophysiological processes and informing the development of targeted interventions, such as AVE.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iccubea61740.2024.10774594
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

EEG-Driven Approach to Improve Academic Performance via Auditory Brainwave Entrainment Techniques

Prabhat Ranjan, Salim Chavan, Shweta Kanhere Banait, Devang Chavan
1 citations
EEG and Brain-Computer Interfaces
0.34
article

EEG-Driven Approach to Improve Academic Performance via Auditory Brainwave Entrainment Techniques

Prabhat Ranjan, Salim Chavan, Shweta Kanhere Banait, Devang Chavan
article en
1 citations

Abstract

As the most intelligent species, humans possess highly developed cognitive abilities facilitated by complex neural mechanisms. Our brains generate electrical signals in response to sensory inputs and experiences. Audiovisual Entrainment (AVE) techniques leverage this neuroplasticity, allowing external stimuli to modulate brain wave patterns. This approach has shown potential in addressing various neurological conditions, alleviating stress and anxiety, and enhancing cognitive performance and overall well-being. Brain-Computer Interface (BCI) technologies enable direct monitoring and analysis of neural activity through non-invasive methods like Electroencephalography (EEG). EEG provides a cost-effective and practical solution for recording brain wave patterns during cognitive tasks, facilitating insights into neurophysiological processes and informing the development of targeted interventions, such as AVE.

D Y Patil International University (IN)
Openalex Percentile: Top 37%
EEG and Brain-Computer Interfaces
0.34
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EEG-Driven Approach to Improve Academic Performance via Auditory Brainwave Entrainment Techniques — Prabhat Ranjan, Salim Chavan, et al. · (2024) | TGRS Research Map | TGRS