Approximate Entropy as a Measure of Cognitive Fatigue: An EEG Pilot Study
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2014, Vol 1, Issue 7
Abstract
Nonlinear analysis of electroencephalogram (EEG) activity can provide a better understanding of brain signal dynamics during cognitive fatigue. The aim of this study was to analyse the regularity of EEG time series of healthy participants undergoing a series of cognitive tasks to test the hypothesis whether the irregularity of EEG signals changes through increasing time on performing cognitive task. EEG activities were recorded from two scalp loci of the international 10-20 system (that are Fz and Pz electrodes representing the midline frontal and parietal lobes of the brain respectively) in twelve participants from which Approximate Entropy (ApEn) values were computed. ApEn is a nonlinear method which quantifies the irregularity of a time series whereby larger ApEn corresponds to more irregularity. ApEn values were found to be significantly different among the six time intervals of a series of 5-minutes cognitive tasks (p<0.01). Moreover, there was a significant positive correlation between ApEn at the Pz electrode and measured mental fatigue visual analogue scale (p<0.01). Therefore, the irregularity found in the participants’ EEG signals across the time intervals of performing cognitive task demonstrate that EEG regularity analysis with ApEn might be a useful tool in increasing our insight into the characteristics of the brain processes involved while performing fatiguing cognitive task and in quantifying cognitive fatigue.
Authors and Affiliations
Dineshen Chuckravanen
The Efficient key Management Scheme for Data Sharing in Cloud Server
The capability of selectively division encrypted data with different users via public cloud storage may greatly ease security concerns over involuntary data leaks in the cloud. A key test to design such encryption idea l...
Wrapper Approach for IDS Using Fuzzy Genetic Algorithm
The intrusion detection systems (IDS) are becoming indispensable for effective protection against attacks that are constantly changing in magnitude and complexity. This paper proposes a fuzzy genetic algorithm (FGA) for...
Implementation of Factorized Kalman Filter for Target Image Tracking
Filtering is useful for many engineering and aerospace applications like satellite orbit estimation or aircraft state estimation. Factorized Kalman filtering strategy which was originally developed for using it in spacec...
A study of production inventory model of deteriorating items in an imperfect production process
The paper describes an EMQ (Economic Manufacturing Quantity ) model for a deteriorating item considering time-dependent demand. The deterioration rate is a constant fraction of the on hand inventory and we have considere...
Upshot of Demonetization in India
India is a country with cash economy. Most of the people have savings of Rs.500 in home to cope up with daily needs and to tackle some emergency situations. On November 8th 2016, the Prime Minister Narendra Modi declared...