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

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

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...

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Bibliographic Details
Main Authors: Lim, Wei Lun, Sourina, Olga, Wang, Lipo, Liu, Yisi
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Electroencephalography (EEG)
Workload Classification
Online Access:https://hdl.handle.net/10356/146013

Internet

https://hdl.handle.net/10356/146013

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