172 related articles for article (PubMed ID: 24111257)
1. Mental fatigue and working memory load estimation: interaction and implications for EEG-based passive BCI.
Roy RN; Bonnet S; Charbonnier S; Campagne A
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6607-10. PubMed ID: 24111257
[TBL] [Abstract][Full Text] [Related]
2. Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface.
Käthner I; Wriessnegger SC; Müller-Putz GR; Kübler A; Halder S
Biol Psychol; 2014 Oct; 102():118-29. PubMed ID: 25088378
[TBL] [Abstract][Full Text] [Related]
3. Probing ECG-based mental state monitoring on short time segments.
Roy RN; Charbonnier S; Campagne A
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6611-4. PubMed ID: 24111258
[TBL] [Abstract][Full Text] [Related]
4. A Passive EEG-BCI for Single-Trial Detection of Changes in Mental State.
Myrden A; Chau T
IEEE Trans Neural Syst Rehabil Eng; 2017 Apr; 25(4):345-356. PubMed ID: 28092565
[TBL] [Abstract][Full Text] [Related]
5. The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG.
Li G; Huang S; Xu W; Jiao W; Jiang Y; Gao Z; Zhang J
BMC Neurosci; 2020 May; 21(1):20. PubMed ID: 32398004
[TBL] [Abstract][Full Text] [Related]
6. Driver state examination--Treading new paths.
Wascher E; Getzmann S; Karthaus M
Accid Anal Prev; 2016 Jun; 91():157-65. PubMed ID: 26986022
[TBL] [Abstract][Full Text] [Related]
7. Frontal theta activity reflects distinct aspects of mental fatigue.
Wascher E; Rasch B; Sänger J; Hoffmann S; Schneider D; Rinkenauer G; Heuer H; Gutberlet I
Biol Psychol; 2014 Feb; 96():57-65. PubMed ID: 24309160
[TBL] [Abstract][Full Text] [Related]
8. Motor imagery and mental fatigue: inter-relationship and EEG based estimation.
Talukdar U; Hazarika SM; Gan JQ
J Comput Neurosci; 2019 Feb; 46(1):55-76. PubMed ID: 30488148
[TBL] [Abstract][Full Text] [Related]
9. EEG-based detection of mental workload level and stress: the effect of variation in each state on classification of the other.
Bagheri M; Power SD
J Neural Eng; 2020 Oct; 17(5):056015. PubMed ID: 32987366
[TBL] [Abstract][Full Text] [Related]
10. [Power spectrum analysis on the multiparameter electroencephalogram features of physiological mental fatigue].
Zhang C; Zheng C; Pei X; Ouyang Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Feb; 26(1):162-6, 172. PubMed ID: 19334577
[TBL] [Abstract][Full Text] [Related]
11. Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications.
Hinss MF; Jahanpour ES; Somon B; Pluchon L; Dehais F; Roy RN
Sci Data; 2023 Feb; 10(1):85. PubMed ID: 36765121
[TBL] [Abstract][Full Text] [Related]
12. Mental fatigue in central-field and peripheral-field steady-state visually evoked potential and its effects on event-related potential responses.
Lee MH; Williamson J; Lee YE; Lee SW
Neuroreport; 2018 Oct; 29(15):1301-1308. PubMed ID: 30102642
[TBL] [Abstract][Full Text] [Related]
13. A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks.
Aricò P; Borghini G; Di Flumeri G; Colosimo A; Pozzi S; Babiloni F
Prog Brain Res; 2016; 228():295-328. PubMed ID: 27590973
[TBL] [Abstract][Full Text] [Related]
14. EEG-based discrimination of different cognitive workload levels from mental arithmetic.
Chin ZY; Zhang X; Wang C; Ang KK
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1984-1987. PubMed ID: 30440788
[TBL] [Abstract][Full Text] [Related]
15. Time-frequency distribution properties of event-related potentials in mental fatigue induced by visual memory tasks.
Liu X; Liu J; Gai S; Meyer K; Xu S; Cai X
Neuroreport; 2016 Sep; 27(14):1031-6. PubMed ID: 27489099
[TBL] [Abstract][Full Text] [Related]
16. Estimation of the cortical functional connectivity by directed transfer function during mental fatigue.
Liu JP; Zhang C; Zheng CX
Appl Ergon; 2010 Dec; 42(1):114-21. PubMed ID: 20576255
[TBL] [Abstract][Full Text] [Related]
17. Prediction of Individual User's Dynamic Ranges of EEG Features from Resting-State EEG Data for Evaluating Their Suitability for Passive Brain-Computer Interface Applications.
Cha HS; Han CH; Im CH
Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32059543
[TBL] [Abstract][Full Text] [Related]
18. Mental Fatigue Estimation Using EEG in a Vigilance Task and Resting States.
Tian S; Wang Y; Dong G; Pei W; Chen H
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1980-1983. PubMed ID: 30440787
[TBL] [Abstract][Full Text] [Related]
19. Influence of task combination on EEG spectrum modulation for driver workload estimation.
Lei S; Roetting M
Hum Factors; 2011 Apr; 53(2):168-79. PubMed ID: 21702334
[TBL] [Abstract][Full Text] [Related]
20. Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain-Computer Interface.
Bagheri M; Power SD
Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062495
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
