Code for: Hamann, Anneke & Carstengerdes, Nils. Assessing the development of mental fatigue during simulated flights with concurrent EEG-fNIRS measurement. (in preparation)
Author(s) / Creator(s)
Hamann, Anneke
Carstengerdes, Nils
Abstract / Description
Code for analysis of EEG, fNIRS, subjective and performance data for: Hamann, A., & Carstengerdes, N. (2023). Assessing the development of mental fatigue during simulated flights with concurrent EEG-fNIRS measurement. Scientific Reports, 13, 4738. https://doi.org/10.1038/s41598-023-31264-w
Mental fatigue (MF) can impair pilots’ performance and reactions to unforeseen events and is therefore an important concept within aviation. The physiological measurement of MF, especially with EEG and, in recent years, fNIRS, has gained much attention. However, a systematic investigation and comparison of the measurements is seldomly done. We induced MF via time on task during a 90-min simulated flight task and collected concurrent EEG-fNIRS, performance and self-report data from 31 participants. While their subjective MF increased linearly, the participants were able to keep their performance stable over the course of the experiment. EEG data showed an early increase and levelling in parietal alpha power and a slower, but steady increase in frontal theta power. No consistent trend could be observed in the fNIRS data. Thus, more research on fNIRS is needed to understand its possibilities and limits for MF assessment, and a combination with EEG is advisable to compare and validate results. Until then, EEG remains the better choice for continuous MF assessment in cockpit applications because of its high sensitivity to a transition from alert to fatigued, even before performance is impaired.
Keyword(s)
EEG fNIRS aviaton human performance mental fatiguePersistent Identifier
Date of first publication
2022-10-26
Publisher
PsychArchives
Is referenced by
Citation
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Pipeline_NIRS_AnalyzIR.mUnknown - 2.94KBMD5: fd3677727756301105099b73682dcfcbDescription: Syntax for fNIRS analysis for MATLAB
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Pipeline_NIRS_AnalyzIR.txtText - 2.94KBMD5: fd3677727756301105099b73682dcfcbDescription: Syntax for fNIRS analysis in .txt format
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EEG_syntax.spsSPSS syntax file - 12.88KBMD5: b499b6bc48606fafe9f8e6710f1aec50Description: Syntax for EEG analysis for SPSS
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EEG_syntax.txtText - 12.88KBMD5: 1ecc64f13c50caaae53534678d657dadDescription: Syntax for EEG analysis in .txt format
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behavioural_subjective_syntax.spsSPSS syntax file - 6.9KBMD5: 8ad8c3215b22d3a044583a426f3e1a88Description: Syntax for questionnaire, self-report and performance data analysis for SPSS
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behavioural_subjective_syntax.txtText - 6.9KBMD5: 63654d5d8b726235cb6ee82dfe6b4144Description: Syntax for questionnaire, self-report and performance data analysis in .txt format
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There are no other versions of this object.
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Author(s) / Creator(s)Hamann, Anneke
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Author(s) / Creator(s)Carstengerdes, Nils
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PsychArchives acquisition timestamp2022-10-26T15:57:20Z
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Made available on2022-10-26T15:57:20Z
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Date of first publication2022-10-26
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Abstract / DescriptionCode for analysis of EEG, fNIRS, subjective and performance data for: Hamann, A., & Carstengerdes, N. (2023). Assessing the development of mental fatigue during simulated flights with concurrent EEG-fNIRS measurement. Scientific Reports, 13, 4738. https://doi.org/10.1038/s41598-023-31264-wen
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Abstract / DescriptionMental fatigue (MF) can impair pilots’ performance and reactions to unforeseen events and is therefore an important concept within aviation. The physiological measurement of MF, especially with EEG and, in recent years, fNIRS, has gained much attention. However, a systematic investigation and comparison of the measurements is seldomly done. We induced MF via time on task during a 90-min simulated flight task and collected concurrent EEG-fNIRS, performance and self-report data from 31 participants. While their subjective MF increased linearly, the participants were able to keep their performance stable over the course of the experiment. EEG data showed an early increase and levelling in parietal alpha power and a slower, but steady increase in frontal theta power. No consistent trend could be observed in the fNIRS data. Thus, more research on fNIRS is needed to understand its possibilities and limits for MF assessment, and a combination with EEG is advisable to compare and validate results. Until then, EEG remains the better choice for continuous MF assessment in cockpit applications because of its high sensitivity to a transition from alert to fatigued, even before performance is impaired.en
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Publication statusunknownen
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Review statusunknownen
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SponsorshipOpen Access funding enabled and organized by Projekt DEALen
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/7590
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.8307
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Language of contentengen
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PublisherPsychArchivesen
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Is referenced byhttps://doi.org/10.1038/s41598-023-31264-w
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Is related tohttps://www.psycharchives.org/handle/20.500.12034/7589
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Is related tohttps://doi.org/10.1038/s41598-023-31264-w
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Keyword(s)EEGen
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Keyword(s)fNIRSen
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Keyword(s)aviatonen
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Keyword(s)human performanceen
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Keyword(s)mental fatigueen
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Dewey Decimal Classification number(s)150
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TitleCode for: Hamann, Anneke & Carstengerdes, Nils. Assessing the development of mental fatigue during simulated flights with concurrent EEG-fNIRS measurement. (in preparation)en
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DRO typecodeen