Open Access
| Issue |
JNWPU
Volume 36, Number 4, August 2018
|
|
|---|---|---|
| Page(s) | 715 - 721 | |
| DOI | https://doi.org/10.1051/jnwpu/20183640715 | |
| Published online | 24 October 2018 | |
- Nelson J T, Mckinley R A, Golob E J, et al. Enhancing Vigilance in Operators with Prefrontal Cortex Transcranial Direct Current Stimulation(tDCS)[J]. Neuroimage, 2014, 85(15): 909-917 [Article] [CrossRef] [Google Scholar]
- Zhao Yunlong, Wang Xueming, Xue Ranting, et al. Brain Vigilance Analysis Based on the Measure of Complexity[J]. Journal of Biomedical Engineering 2015 4 725-729 (in Chinese) [Google Scholar]
- Gao Zhenhai, Duan Lifei, Zhao Hui, et al. Assessment of Driver's Cognitive Workload under Multitask Based on Physiological Signals[J]. Automotive Engineering 2015 1 33 37 (in Chinese) [Article] [Google Scholar]
- Hart G S, Stavenland E L. Development of NASA-TLX(Task Load Index):Results of Empirical and Theoretical Research[J]. Advances in Psychology, 1988, 52: 139-183 [Article] [CrossRef] [Google Scholar]
- Zhang X, Li J, Liu Y, et al. Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG[J]. Sensors 2017 17 3 486 [Article] [CrossRef] [Google Scholar]
- Shimomura Y, Yoda T, Sugiura K, et al. Use of Frequency Domain Analysis of Skin Conductance for Evaluation of Mental Workload[J]. Journal of Physiological Anthropology 2008 27 4 173 [Article] [CrossRef] [Google Scholar]
- Joux N R D, Wilson K, Russell P N, et al. The Configural Properties of Task Stimuli DO Influence Vigilance Performance[J]. Experimental Brain Research, 2015, 233(9): 2619-2626 [Article] [CrossRef] [Google Scholar]
- Davis C M, Roma P G, Hienz R D. A Rodent Model of the Human Psychomotor Vigilance Test:Performance Comparisons[J]. Journal of Neuroscience Methods, 2016, 259(3): 57-71 [Article] [CrossRef] [Google Scholar]
- Whelan R. Effective Analysis of Reaction Time Data[J]. Psychological Record, 2008, 58(3): 475-482 [Article] [CrossRef] [Google Scholar]
- Basner M, Mcguire S, Goel N, et al. A New Likelihood Ratio Metric for the Psychomotor Vigilance Test and Its Sensitivity to Sleep Loss[J]. Journal of Sleep Research, 2015, 24(6): 702-713 [Article] [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.