压力检测的EEG生物标记：Hjorth参数、频谱和分形维数指标的比较分析

EEG-based stress detection is increasingly relevant for intelligent sensing and human–computer interaction, particularly for systems that aim to adapt to users’ changing cognitive and affective states. While conventional EEG-based stress detection approaches mainly rely on spectral band-power features, fractal-dimension measures and Hjorth parameters may provide additional information about underlying brain dynamics. However, their relative contribution, spatial distribution, and frequency-band dependence remain insufficiently understood. In this study, pre-recorded EEG data from a stress-indu