MUSEI-EEG: studying the effect of Music on Stress reduction quantified through Emotional Intelligence using EEG signal processing
- Citation Author(s):
-
Kavya Kuruguntla (Indian Institute of Technology, Roorkee)Dhanunjay Reddy Srikireddy
(Indian Institute of Technology, Roorkee)
Tharun Kumar Reddy Bollu
(Indian Institute of Technology, Roorkee)
- Submitted by:
- tharun reddy
- Last updated:
- DOI:
- 10.21227/0z4y-hs76
- Research Article Link:
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Abstract
Stress became a common factor of individuals in this competitive work environment, especially in academics. To address and assess this issue, this MUSEI-EEG dataset provides the Electroencephalogram (EEG) data of 20 undergraduate individuals in the 18-24 years age group (both male and female). Raag Darbari's music-based three-stage paradigm is designed for the subjects for cognitive stress assessment. Through this paradigm, physiological signal-based monitoring of stress level reduction can be observed in reference to stress and anxiety forms filled by the individual.
Instructions:
Refer to the documentation for the Paradigm design, EEG specifications, Music stimulus details, Stress/ Anxiety scale forms filled by the subjects, and Subject label identification.
You can use the MUSEI-EEG data with proper citation of the following paper:
@article{reddy2025music,
title={Music Therapy based Stress Prediction using Homological Feature Analysis on EEG Signals},
author={Reddy, Srikireddy Dhanunjay and Bollu, Tharun Kumar Reddy},
journal={arXiv preprint arXiv:2502.18835},
year={2025}
}
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