Literature DB >> 26405908

Electroencephalogram assessment of mental fatigue in visual search.

Xiaoli Fan1, Qianxiang Zhou1, Zhongqi Liu1, Fang Xie2.   

Abstract

Mental fatigue is considered to be a contributing factor responsible for numerous road accidents and various medical conditions and the efficiency and performance could be impaired during fatigue. Hence, determining how to evaluate mental fatigue is very important. In the present study, ten subjects performed a long-term visual search task with electroencephalogram recorded, and self-assessment and reaction time (RT) were combined to verify if mental fatigue had been induced and were also used as confirmatory tests for the proposed measures. The changes in relative energy in four wavebands (δ,θ,α, and β), four ratio formulas [(α+θ)/β,α/β,(α+θ)/(α+β), and θ/β], and Shannon's entropy (SE) were compared and analyzed between the beginning and end of the task. The results showed that a significant increase occurred in alpha activity in the frontal, central, posterior temporal, parietal, and occipital lobes, and a dip occurred in the beta activity in the pre-frontal, inferior frontal, posterior temporal, and occipital lobes. The ratio formulas clearly increased in all of these brain regions except the temporal region, where only α/β changed obviously after finishing the 60-min visual search task. SE significantly increased in the posterior temporal, parietal, and occipital lobes. These results demonstrate some potential indicators for mental fatigue detection and evaluation, which can be applied in the future development of countermeasures to fatigue.

Entities:  

Keywords:  EEG; Mental fatigue; entropy; ratio formulas; visual search

Mesh:

Year:  2015        PMID: 26405908     DOI: 10.3233/BME-151444

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  9 in total

1.  Research on the Relationship between Reaction Ability and Mental State for Online Assessment of Driving Fatigue.

Authors:  Mengzhu Guo; Shiwu Li; Linhong Wang; Meng Chai; Facheng Chen; Yunong Wei
Journal:  Int J Environ Res Public Health       Date:  2016-11-24       Impact factor: 3.390

2.  Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures.

Authors:  Stephan Getzmann; Stefan Arnau; Melanie Karthaus; Julian Elias Reiser; Edmund Wascher
Journal:  Front Hum Neurosci       Date:  2018-08-07       Impact factor: 3.169

3.  How Physical Activities Affect Mental Fatigue Based on EEG Energy, Connectivity, and Complexity.

Authors:  Rui Xu; Chuncui Zhang; Feng He; Xin Zhao; Hongzhi Qi; Peng Zhou; Lixin Zhang; Dong Ming
Journal:  Front Neurol       Date:  2018-10-31       Impact factor: 4.003

4.  Research on Night Light Comfort of Pedestrian Space in Urban Park.

Authors:  Jun Zhang; Wenhan Dai
Journal:  Comput Math Methods Med       Date:  2021-12-21       Impact factor: 2.238

5.  EEG Spectral Feature Modulations Associated With Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions.

Authors:  Udeshika C Dissanayake; Volker Steuber; Farshid Amirabdollahian
Journal:  Front Neurorobot       Date:  2022-01-20       Impact factor: 2.650

6.  T-Pattern Detection and Analysis of Football Players' Tactical and Technical Defensive Behaviour Interactions: Insights for Training and Coaching Team Coordination.

Authors:  Tiago Fernandes; Oleguer Camerino; Marta Castañer
Journal:  Front Psychol       Date:  2021-12-06

7.  Therapeutic Garden With Contemplative Features Induces Desirable Changes in Mood and Brain Activity in Depressed Adults.

Authors:  Agnieszka Olszewska-Guizzo; Anna Fogel; Nicolas Escoffier; Angelia Sia; Kenta Nakazawa; Akihiro Kumagai; Ippeita Dan; Roger Ho
Journal:  Front Psychiatry       Date:  2022-04-07       Impact factor: 5.435

8.  Effects of Physical and Mental Fatigue on Postural Sway and Cortical Activity in Healthy Young Adults.

Authors:  Arnd Gebel; Aglaja Busch; Christine Stelzel; Tibor Hortobágyi; Urs Granacher
Journal:  Front Hum Neurosci       Date:  2022-06-14       Impact factor: 3.473

9.  ERP Study of Mine Management System Warning Interface under Fatigue.

Authors:  Yuxin Bai; Jiang Shao; Ying Zhang; Lulu Chen; Xijie Zhao; Fangyuan Tian; Chengqi Xue
Journal:  Int J Environ Res Public Health       Date:  2022-10-02       Impact factor: 4.614

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.