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 accessAbstract
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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Cites
Neuronal Oscillations in Cortical Networks
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Cited by
The neurocognitive consequences of sleep restriction: A meta-analytic review
Lowe, C. J., Safati, A., & Hall, P. A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.07.010 · Cited by 520
Di Flumeri, G., Borghini, G., Aricò, P., Sciaraffa, N., Lanzi, P., Pozzi, S., Vignali, V., Lantieri, C., Bichicchi, A., Simone, A., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00509 · Cited by 168
Peitek, N., Bergum, A., Rekrut, M., Mucke, J., Nadig, M., Parnin, C., Siegmund, J., & Apel, S. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3540250.3549084 · Cited by 32
Metadata
- Authors
- Holm, A., Lukander, K., Korpela, J., Sallinen, M., & Müller, K. M. I.
- Venue
- The Scientific World JOURNAL
- Publisher
- Hindawi Limited
- 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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- 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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