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What is Mental Stress Detection via EEG Channels about?

This study presents a novel method for classifying mental stress using selected EEG channels based on the correlation coefficient of Hjorth parameters. The proposed CCHP method identifies and ranks optimal EEG channels, achieving an accuracy of 81.56% with SVM, which outperforms existing methods. This research aims to facilitate the development of real-time stress detection devices, enhancing clinical decision-making through improved brain activity monitoring.

Author

Thắm Phạm

Language

EN