Enhancing EEG-based Stress detection: Integrated techniques and optimization strategies

stress detection using EEG signals

Authors

  • Shilpa Jagtap G H Raisoni College of Engineering and Management, Pune
  • D.M. Yadav SND College of Engineering and Research, Yeola, Nashik

DOI:

https://doi.org/10.62110/sciencein.jist.2025.v13.1003

Keywords:

Stress detection, EEG Signal, BiLSTM, Transformer, Short-Time Fourier Transform, Discrete Wavelet Transform, Brain mapping

Abstract

This research presents an integrated approach to EEG-based stress detection, combining various signal processing techniques to offer a novel perspective on stress-related EEG signal analysis. The study explores spectral analysis, time-frequency feature extraction, Discrete Wavelet Transform (DWT), and optimization methods, including the use of Chirp Cosine Raised Window (CCRW) with Short-Time Fourier Transform (STFT). An advanced fusion model is introduced, integrating Bidirectional Long Short-Term Memory (BiLSTM) layers and a Transformer architecture to capture temporal patterns and global context awareness within EEG signals. The optimization strategies used for feature selection, enhance the model's efficiency and accuracy in real-world applications. Additionally, the effectiveness of employing CCRW with STFT for spectral analysis is demonstrated, leading to a more precise representation of EEG signals during stress-related activities. This research offers a road map for researchers and practitioners, emphasizing the synergistic fusion of diverse approaches to improve the accuracy and reliability of EEG-based stress detection.

Downloads

Download data is not yet available.

Author Biography

  • Shilpa Jagtap, G H Raisoni College of Engineering and Management, Pune

    Department of Electronics and Telecommunication

Downloads

Published

2024-11-01

Issue

Section

Engineering

URN

How to Cite

Jagtap, S., & Yadav, D. (2024). Enhancing EEG-based Stress detection: Integrated techniques and optimization strategies. Journal of Integrated Science and Technology, 13(1), 1003. https://doi.org/10.62110/sciencein.jist.2025.v13.1003

Similar Articles

1-10 of 112

You may also start an advanced similarity search for this article.