دورية أكاديمية

Estimating Brain Load from the EEG

التفاصيل البيبلوغرافية
العنوان: Estimating Brain Load from the EEG
المؤلفون: Anu Holm, Kristian Lukander, Jussi Korpela, Mikael Sallinen, Kiti M. I. Müller
المصدر: The Scientific World Journal, Vol 9, Pp 639-651 (2009)
بيانات النشر: Hindawi Limited, 2009.
سنة النشر: 2009
المجموعة: LCC:Technology
LCC:Medicine
LCC:Science
مصطلحات موضوعية: Technology, Medicine, Science
الوصف: Modern work requires cognitively demanding multitasking and the need for sustained vigilance, which may result in work-related stress and may increase the possibility of human error. Objective methods for estimating cognitive overload and mental fatigue of the brain on-line, during work performance, are needed. We present a two-channel electroencephalography (EEG)–based index, theta Fz/alpha Pz ratio, potentially implementable into a compact wearable device. The index reacts to both acute external and cumulative internal load. The index increased with the number of tasks to be performed concurrently (p = 0.004) and with increased time awake, both after normal sleep (p = 0.002) and sleep restriction (p = 0.004). Moreover, the increase of the index was more pronounced in the afternoon after sleep restriction (p = 0.006). As a measure of brain state and its dynamics, the index can be considered equivalent to the heartbeat, an indicator of the cardiovascular state, thus inspiring the name "brainbeat".
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1537-744X
Relation: https://doaj.org/toc/1537-744X
DOI: 10.1100/tsw.2009.83
URL الوصول: https://doaj.org/article/ea742f0dafef41a788e61fc2f6e8b57c
رقم الأكسشن: edsdoj.742f0dafef41a788e61fc2f6e8b57c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1537744X
DOI:10.1100/tsw.2009.83