@inproceedings{910cef4783de42e99cc02f7c53342210,
title = "Novel single-channel EEG features correlate with working memory load",
abstract = "Working Memory (WM) load is a cognitive feature, which is highly correlated with mental effort. Theta power, among other neurological biomarkers, shows increased activity with increasing WM load. These correspondences frequently break down in individuals with cognitive decline, making WM load biomarkers a potentially valuable tool for early detection of cognitive impairment. However, such studies used multiple-channel EEG headsets, which are not easy to use and accessible. Here we used a single-channel EEG set (Aurora by Neurosteer{\textregistered}) and evaluated the ability of novel features, previously extracted on a different dataset, to serve as WM load biomarkers. In a single experiment, fourteen participants underscored the widely used n-back task while their brain activity was recorded with the mobile EEG device. Frontal theta power, as well as two novel features, significantly correlated with the levels of WM load. However, the two novel features exhibited higher sensitivity to lower WM load changes. These more sensitive biomarkers of WM load are a promising tool for mass screening of mild cognitive impairment.",
keywords = "EEG, Machine learning, Mental load",
author = "Maimon, {Neta B.} and Lior Molcho and Nathan Intrator and Dominique Lamy",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021 ; Conference date: 09-03-2021 Through 11-03-2021",
year = "2021",
month = mar,
day = "9",
doi = "10.1109/LifeTech52111.2021.9391963",
language = "الإنجليزيّة",
series = "LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "471--472",
booktitle = "LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies",
address = "الولايات المتّحدة",
}