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:
Wed, 12/18/2024 - 06:50
DOI:
10.21227/0z4y-hs76
License:
0
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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.

Documentation

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File MUSEI-EEG dataset description590.92 KB