دورية أكاديمية
Estimating Brain Load from the EEG
العنوان: | Estimating Brain Load from the EEG |
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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: | Wiley, 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 |
تدمد: | 1537744X |
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DOI: | 10.1100/tsw.2009.83 |