Literature DB >> 19964564

Human performance evaluation based on EEG signal analysis: a prospective review.

Ahmed F Rabbi1, Kevin Ivanca, Ashley V Putnam, Ahmed Musa, Courtney B Thaden, Reza Fazel-Rezai.   

Abstract

Electroencephalogram (EEG) signal, the signature of brain activity, can be used to quantify for human performance evaluation. There are ongoing efforts by scientists and researchers in this area. Different traditional and novel signal processing and analysis methods have been applied to evaluate performance, mental workload, and task engagement based on EEG signals. Linear change in the indices with the increase in task difficulty was reported. In addition, EEG index has been used as parameter for performance optimization. In this review article, we will discuss briefly the literature on human performance estimation based on some physiological parameters, EEG in particular. In this paper, the current state of the research field is presented and possible future research options are discussed.

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Year:  2009        PMID: 19964564     DOI: 10.1109/IEMBS.2009.5333877

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


  5 in total

1.  Feasibility of EEG to monitor cognitive performance during venous cannulation: EEG Distracted Intravenous Access (E-DIVA).

Authors:  David J Lowe; Scott A James; Adam Lloyd; Gareth R Clegg
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2016-06-01

2.  Cognitive behavior evaluation based on physiological parameters among young healthy subjects with yoga as intervention.

Authors:  H Nagendra; Vinod Kumar; S Mukherjee
Journal:  Comput Math Methods Med       Date:  2015-02-11       Impact factor: 2.238

3.  Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis.

Authors:  Lina Elsherif Ismail; Waldemar Karwowski
Journal:  PLoS One       Date:  2020-12-04       Impact factor: 3.240

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

Authors:  Chengmin Zhou; Fangfang Yuan; Ting Huang; Yurong Zhang; Jake Kaner
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

5.  Frontal theta brain activity varies as a function of surgical experience and task error.

Authors:  Ahmed Mohammed Balkhoyor; Muhammad Awais; Shekhar Biyani; Alexandre Schaefer; Matt Craddock; Olivia Jones; Michael Manogue; Mark A Mon-Williams; Faisal Mushtaq
Journal:  BMJ Surg Interv Health Technol       Date:  2020-11-09
  5 in total

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