Literature DB >> 29060420

Analysis of cognitive fatigue using EEG parameters.

Anwesha Sengupta, Abhishek Tiwari, Aurobinda Routray.   

Abstract

Continuous and repetitive performance of a task is likely to induce a drop in alertness levels of an individual. Changes in Electroencephalogram (EEG) have been proposed in literature as a marker of alertness during repeated performance of a cognitive task set. The present paper investigates the increase in fatigue levels and resultant drop in alertness of subjects during continuous performance of cognitive tasks by analyzing changes in energy of EEG frequency bands. The trends reflected in the EEG parameters correspond to a gradual increase in fatigue levels of subjects with increase in cognitive loading.

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Year:  2017        PMID: 29060420     DOI: 10.1109/EMBC.2017.8037378

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals.

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3.  The Impact of Interface Design Element Features on Task Performance in Older Adults: Evidence from Eye-Tracking and EEG Signals.

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Review 4.  Should All Minimal Access Surgery Be Robot-Assisted? A Systematic Review into the Musculoskeletal and Cognitive Demands of Laparoscopic and Robot-Assisted Laparoscopic Surgery.

Authors:  Abdul Shugaba; Joel E Lambert; Theodoros M Bampouras; Helen E Nuttall; Christopher J Gaffney; Daren A Subar
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5.  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
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  5 in total

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