Individual alpha peak frequency based features for subject dependent EEG workload classification

• المؤلفون الرئيسيون: Lim, Wei Lun, Sourina, Olga, Wang, Lipo, Liu, Yisi
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering; Electroencephalography (EEG); Workload Classification
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146013

The individual alpha peak frequency (IAPF) is an important biological indicator in Electroencephalogram (EEG) studies, with many research publications linking it to various cognitive functions. In this paper, we propose novel Power Spectral Density (PSD) alpha features based on IAPF to classify 2 an...