Complexity of the instantaneous frequency variation in auditory steady-state response: A high sensitivity, high anti-interference index of mental fatigue
The quantification of mental fatigue (MF) in aviation remains a long-lasting problem which has a bearing on flight safety. In this study, we have developed a complexity-based MF index based on multiscale entropy (MSE) analysis of instantaneous frequency variation (IFV) in auditory steady-state respo...
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| Published in | Advanced engineering informatics Vol. 62; p. 102564 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.10.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1474-0346 |
| DOI | 10.1016/j.aei.2024.102564 |
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| Abstract | The quantification of mental fatigue (MF) in aviation remains a long-lasting problem which has a bearing on flight safety. In this study, we have developed a complexity-based MF index based on multiscale entropy (MSE) analysis of instantaneous frequency variation (IFV) in auditory steady-state response (ASSR). Subjects were asked to undertake a flight simulation task, before and after which, electroencephalograms (EEGs) were recorded with no auditory stimulus, and with Don chirp sound to elicit ASSR. In the anti-interference tests, our proposed MF index showed higher performance in terms of anti-interference from electrooculogram (EOG) and environment. In the flight simulation task, fatigue evaluations based on ASSR have achieved a better fatigue detection effect comparing with the conventional methods: 95% in the fatigue detection rate and −13.885% in the MF index. In conclusion, the proposed MF index has high sensitivity and high anti-interference capacities, therefore has potential applications in a variety of fields that require robust monitoring of MF outside a shielded chamber.
•Complexity of IFV in ASSR has high anti-interference performance from electrooculogram.•Complexity of IFV in ASSR has high anti-interference performance from environment.•Comparing with band-power indices, complexity of IFV in ASSR is more sensitive to mental fatigue. |
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| AbstractList | The quantification of mental fatigue (MF) in aviation remains a long-lasting problem which has a bearing on flight safety. In this study, we have developed a complexity-based MF index based on multiscale entropy (MSE) analysis of instantaneous frequency variation (IFV) in auditory steady-state response (ASSR). Subjects were asked to undertake a flight simulation task, before and after which, electroencephalograms (EEGs) were recorded with no auditory stimulus, and with Don chirp sound to elicit ASSR. In the anti-interference tests, our proposed MF index showed higher performance in terms of anti-interference from electrooculogram (EOG) and environment. In the flight simulation task, fatigue evaluations based on ASSR have achieved a better fatigue detection effect comparing with the conventional methods: 95% in the fatigue detection rate and −13.885% in the MF index. In conclusion, the proposed MF index has high sensitivity and high anti-interference capacities, therefore has potential applications in a variety of fields that require robust monitoring of MF outside a shielded chamber.
•Complexity of IFV in ASSR has high anti-interference performance from electrooculogram.•Complexity of IFV in ASSR has high anti-interference performance from environment.•Comparing with band-power indices, complexity of IFV in ASSR is more sensitive to mental fatigue. |
| ArticleNumber | 102564 |
| Author | Li, Yuanzhe Li, Yan Tang, Chi Xie, Kangning Zhou, Shengyi Huang, Anxue Wu, Shengjun Luo, Erping |
| Author_xml | – sequence: 1 givenname: Yan orcidid: 0000-0002-4029-2373 surname: Li fullname: Li, Yan organization: School of Biomedical Engineering, Air Force Medical University, Xi’an 710032, Shaanxi, China – sequence: 2 givenname: Shengyi surname: Zhou fullname: Zhou, Shengyi organization: The Air Force Hospital of Western Theater Command, Chengdu 610000, Sichuan, China – sequence: 3 givenname: Chi surname: Tang fullname: Tang, Chi organization: School of Biomedical Engineering, Air Force Medical University, Xi’an 710032, Shaanxi, China – sequence: 4 givenname: Anxue surname: Huang fullname: Huang, Anxue organization: The Intelligent Manufacturing Institute of Huanghuai University, Zhumadian 463000, Henan, China – sequence: 5 givenname: Yuanzhe surname: Li fullname: Li, Yuanzhe organization: School of Biomedical Engineering, Air Force Medical University, Xi’an 710032, Shaanxi, China – sequence: 6 givenname: Shengjun surname: Wu fullname: Wu, Shengjun email: wushj@fmmu.edu.cn organization: Department of Psychology, Air Force Medical University, Xi’an 710032, Shaanxi, China – sequence: 7 givenname: Erping surname: Luo fullname: Luo, Erping email: luoerping@fmmu.edu.cn organization: School of Biomedical Engineering, Air Force Medical University, Xi’an 710032, Shaanxi, China – sequence: 8 givenname: Kangning orcidid: 0000-0002-6031-8489 surname: Xie fullname: Xie, Kangning email: xiekangning@fmmu.edu.cn organization: School of Biomedical Engineering, Air Force Medical University, Xi’an 710032, Shaanxi, China |
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| Keywords | Anti-interference Mental fatigue Auditory steady-state response (ASSR) Instantaneous frequency variation (IFV) Flight fatigue Multiscale entropy (MSE) |
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| SubjectTerms | Anti-interference Auditory steady-state response (ASSR) Flight fatigue Instantaneous frequency variation (IFV) Mental fatigue Multiscale entropy (MSE) |
| Title | Complexity of the instantaneous frequency variation in auditory steady-state response: A high sensitivity, high anti-interference index of mental fatigue |
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