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Cited by 287

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Estimating Brain Load from the EEG

Open access
Holm, Anu, Lukander, Kristian, Korpela, Jussi, Sallinen, Mikael, Müller, Kiti M. I.·2009·The Scientific World JOURNAL

Abstract

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".

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Metadata

Authors
Holm, A., Lukander, K., Korpela, J., Sallinen, M., & Müller, K. M. I.
Venue
The Scientific World JOURNAL
Published
2009
Volume
9
Pages
639-651
ISSN
1537-744X (ISSN-L)
OpenAlex
W2048688498
Cited by
287
References
5
FWCI
1.37
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Estimating Brain Load from the EEG. https://app.cochat.ai/papers/10.1100/tsw.2009.83
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Holm, A., Lukander, K., Korpela, J., Sallinen, M., & Müller, K. M. I. (2009). Estimating Brain Load from the EEG. The Scientific World JOURNAL. https://doi.org/10.1100/tsw.2009.83

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