A Personalized Approach to Student Mental Health: Real-Time EEG Biofeedback for Stress and Focus Management
- 1Vivekanand Education Society's Institute of Technology
Abstract
Real-time monitoring of student stress and focus requires low-cost EEG systems, but fixed spectral thresholds may not transfer reliably across users because EEG amplitude and band power vary between individuals and recording conditions. This study investigates a subject-specific thresholding approach using a two-channel Brain BioAmp acquisition setup (FP1 and FP2) and an ESP32-based FFT pipeline. Beta/Alpha and Theta/Alpha ratios are calculated from spectral band estimates and compared with thresholds derived from Baseline, Focused, and Stressed task-condition recordings. In the reported pilot results, the mean Beta/Alpha ratio increased from 2.76 during Baseline to 2.80 during Focused and 2.88 during Stressed conditions. The Theta/Alpha ratio was lowest during Focused (0.95) and highest during Stressed (1.04), compared with 0.99 during Baseline. These are descriptive observations; classification accuracy, statistical significance, and generalization across participants have not been established. The signal-processing calculations and plotted frequency ranges should be checked against the original implementation before these values are treated as final.
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BibTeX
@misc{jha2026personalized,
title = {{A Personalized Approach to Student Mental Health: Real-Time EEG Biofeedback for Stress and Focus Management}},
author = {A. K. Jha and A. Kalsekar and M. S. Chogle},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.20.759906},
url = {https://www.biorxiv.org/content/10.64898/2026.10.20.759906v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - A Personalized Approach to Student Mental Health: Real-Time EEG Biofeedback for Stress and Focus Management
AU - A. K. Jha
AU - A. Kalsekar
AU - M. S. Chogle
PY - 2026
DA - 2026/10/20
PB - bioRxiv
DO - 10.64898/2026.10.20.759906
UR - https://www.biorxiv.org/content/10.64898/2026.10.20.759906v1
AB - Real-time monitoring of student stress and focus requires low-cost EEG systems, but fixed spectral thresholds may not transfer reliably across users because EEG amplitude and band power vary between individuals and recording conditions. This study investigates a subject-specific thresholding approach using a two-channel Brain BioAmp acquisition setup (FP1 and FP2) and an ESP32-based FFT pipeline. Beta/Alpha and Theta/Alpha ratios are calculated from spectral band estimates and compared with thresholds derived from Baseline, Focused, and Stressed task-condition recordings. In the reported pilot results, the mean Beta/Alpha ratio increased from 2.76 during Baseline to 2.80 during Focused and 2.88 during Stressed conditions. The Theta/Alpha ratio was lowest during Focused (0.95) and highest during Stressed (1.04), compared with 0.99 during Baseline. These are descriptive observations; classification accuracy, statistical significance, and generalization across participants have not been established. The signal-processing calculations and plotted frequency ranges should be checked against the original implementation before these values are treated as final.
ER -