Asgher U, Ahmad R, Naseer N, Ayaz Y, Khan MJ, Amjad MK (2019) Assessment and classification of mental workload in the prefrontal cortex (PFC) using fixed-value modified beer-lambert law. Ieee Access 7:143250–143262
Boas DA, Dale AM, Franceschini MA (2004) Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage 23:S275–S288
Borragán G, Guerrero-Mosquera C, Guillaume C, Slama H, Peigneux P (2019) Decreased prefrontal connectivity parallels cognitive fatigue-related performance decline after sleep deprivation. An Opt Imaging Study Biol Psychol 144:115–124
Cao J, Garro EM, Zhao Y (2022) EEG/FNIRS based workload classification using functional brain connectivity and machine learning. Sensors 22(19):7623
Article PubMed PubMed Central Google Scholar
Chen Q, Ru T, Yang M, Yan P, Li J, Yao Y, Li X, Zhou G (2018) Effects of afternoon nap deprivation on adult habitual nappers’ inhibition functions. BioMed Res Int 2018(1):5702646
PubMed PubMed Central Google Scholar
Da Silva FL (2023) EEG: origin and measurement. EEG-fMRI: physiological basis, technique, and applications. Springer International Publishing, Cham, pp 23–48
Gunasekara N, Gaeta G, Levy A, Boot E, Tachtsidis I (2022) fNIRS neuroimaging in olfactory research: a systematic literature review. Front Behav Neurosci 16:1040719
Article PubMed PubMed Central CAS Google Scholar
Ishii A, Tanaka M, Watanabe Y (2014) Neural mechanisms of mental fatigue. Rev Neurosci 25(4):469–479
Johansson B, Starmark A, Berglund P, Rödholm M, Rönnbäck L (2010) A self-assessment questionnaire for mental fatigue and related symptoms after neurological disorders and injuries. Brain Inj 24(1):2–12
Karim E, Pavel HR, Nikanfar S, Hebri A, Roy A, Nambiappan HR, Jaiswal A, Wylie GR, Makedon F (2024) Examining the landscape of cognitive fatigue detection: a comprehensive survey. Technologies 12(3):38
Kinder KT, Heim HL, Parker J, Lowery K, McCraw A, Eddings RN, Defenderfer J, Sullivan J, Buss AT (2022) Systematic review of fNIRS studies reveals inconsistent chromophore data reporting practices. Neurophotonics 9(4):040601–040601
Article PubMed PubMed Central CAS Google Scholar
Korhonen VO, Myllylä TS, Kirillin MY, Popov AP, Bykov AV, Gorshkov AV, Sergeeva EA, Kinnunen M, Kiviniemi V (2013) Light propagation in NIR spectroscopy of the human brain. IEEE J Sel Top Quantum Electron 20(2):289–298
Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD (1989) The fatigue severity scale: application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 46(10):1121–1123
Article PubMed CAS Google Scholar
Leong RL, Lo JC, Chee MW (2022) Systematic review and meta-analyses on the effects of afternoon napping on cognition. Sleep Med Rev 65:101666
Li R, Yang D, Fang F, Hong KS, Reiss AL, Zhang Y (2022a) Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review. Sensors 22(15):5865
Article PubMed PubMed Central CAS Google Scholar
Li M, Gong A, Nan W, Xu B, Ding P, Fu Y (2022) Neurofeedback technology based on functional near infrared spectroscopy imaging and its applications. Sheng wu yi xue Gong Cheng xue za zhi= J Biomed Eng= Shengwu Yixue Gongchengxue Zazhi, 39(5), 1041–1049
Liu S, Zhang R (2022) Aerobic exercise alleviates the impairment of cognitive control ability induced by sleep deprivation in college students: Research based on Go/NoGo task. Front Psychol 13:914568
Article PubMed PubMed Central Google Scholar
Masamoto K, Tanishita K (2009) Oxygen transport in brain tissue. J Biomech Eng. https://doi.org/10.1115/1.3184694
Mehta RK, Peres SC, Kannan P, Rhee J, Shortz AE, Mannan MS (2017) Comparison of objective and subjective operator fatigue assessment methods in offshore shiftwork. J Loss Prev Process Ind 48:376–381
Mohanavelu K, Lamshe R, Poonguzhali S, Adalarasu K, Jagannath M (2017) Assessment of human fatigue during physical performance using physiological signals: a review. Biomed Pharmacol J 10(4):1887–1896
Nihashi T, Ishigaki T, Satake H, Ito S, Kaii O, Mori Y, Shimamoto K, Fukushima H, Suzuki K, Umakoshi H, Ohashi M (2019) Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS. Jpn J Radiol 37:437–448
Article PubMed CAS Google Scholar
Pan T, Wang H, Si H, Liu H, Xu M (2022) Research on the identification of pilots’ fatigue status based on functional near-infrared spectroscopy. Aerospace 9(3):173
Paranawithana I, Mao D, Wong YT, McKay CM (2022) Reducing false discoveries in resting-state functional connectivity using short channel correction: an fNIRS study. Neurophotonics 9(1):015001–015001
Article PubMed PubMed Central Google Scholar
Paranawithana I, Mao D, McKay CM, Wong YT (2023) Connections between spatially distant primary language regions strengthen with age during infancy, as revealed by resting-state fNIRS. J Neural Eng 20(1):016053
Patrick Y, Lee A, Raha O, Pillai K, Gupta S, Sethi S, Mukeshimana F, Gerard L, Moghal MU, Saleh SN, Smith SF (2017) Effects of sleep deprivation on cognitive and physical performance in university students. Sleep Biol Rhythms 15:217–225
Peng Y, Li C, Chen Q, Zhu Y, Sun L (2022) Functional connectivity analysis and detection of mental fatigue induced by different tasks using functional near-infrared spectroscopy. Front Neurosci 15:771056
Article PubMed PubMed Central Google Scholar
Price E, Moore G, Galway L, Linden M (2017) Validation of a smartphone-based approach to in situ cognitive fatigue assessment. JMIR Mhealth Uhealth 5(8):e6333
Riontino L, Cavallero C (2022) Impact of sleep deprivation on attentional networks: disentangling orienting components. Brain Cogn 159:105863
Shahid A, Wilkinson K, Marcu S, Shapiro CM (2011) Visual analogue scale to evaluate fatigue severity (VAS-F). STOP THAT and one hundred other sleep scales. Springer, New York, pp 399–402
Varandas R, Lima R, Bermúdez i Badia S, Silva H, Gamboa H (2022) Automatic cognitive fatigue detection using wearable fNIRS and machine learning. Sensors 22(11):4010
Article PubMed PubMed Central Google Scholar
Wylie GR, Genova HM, DeLuca J, Dobryakova E (2017) The relationship between outcome prediction and cognitive fatigue: a convergence of paradigms. Cogn Affect Behav Neurosci 17:838–849
Article PubMed CAS Google Scholar
Zeng L, Zhou K, Han Q, Wang Y, Guo G, Ye L (2023) An fNIRS labeling image feature-based customized driving fatigue detection method. J Ambient Intell Humaniz Comput 14(9):12493–12509
Zeng L, Wang Y, Han Q, Zhou K, Ye L, Long Y (2021) Driving fatigue detection combining face features with physiological information. In 2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC). IEEE, pp 138–142
留言 (0)