Md Raihan Khan

Md Raihan Khan

Lecturer in EEE at North Western University, Bangladesh. Research in deep learning for biomedical signal processing and medical imaging.

Mental Stress Detection from EEG Signals Using Comparative Analysis of Random Forest and Recurrent Neural Network

Published in IEEE International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), 2024, 2024

This paper presents a comparative study of machine learning and deep learning methods for mental stress detection from EEG signals. A traditional Random Forest classifier is contrasted with a Recurrent Neural Network (RNN) model over carefully preprocessed EEG data.

The analysis highlights the trade-offs between interpretability, computational cost, and accuracy, showing the potential of deep temporal models while emphasizing the importance of robust preprocessing and feature design for stress detection.

Recommended citation: Md Raihan Khan and Mohiuddin Ahmad, "Mental Stress Detection from EEG Signals Using Comparative Analysis of Random Forest and Recurrent Neural Network," IEEE iCACCESS 2024.
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