Evaluation of EEG features as indicators of physiological conditions

Xia, Likun and Mumtaz, Wajid and Malik, Aamir Saeed (2012) Evaluation of EEG features as indicators of physiological conditions. Australasian Physical & Engineering Sciences in Medicine. ISSN 0158-9938 (In Press)

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Official URL: http://www.springer.com/biomed/journal/13246

Abstract

This paper aims to quantify physiological conditions based on two EEG features, composite permutation entropy index (CPEI) and sample entropy (SampEn), to identify healthy (unstressed) and stressed conditions.
An experiment with 28 participants (17 healthy, 11 stressed) was designed. It was conducted using visual stimulus in the 2D and 3D game environments, respectively. The dataset was recorded in eyes close (EC), eyes open (EO), and game playing in two dimension (2D), three dimension (3D) Active and Passive stages. It was then analysed using CPEI and SampEn.

Item Type:	Article
Impact Factor:	0.561
Subjects:	Q Science > QP Physiology
Departments / MOR / COE:	Centre of Excellence > Center for Intelligent Signal and Imaging Research Departments > Electrical & Electronic Engineering Research Institutes > Institute for Health Analytics
Depositing User:	Dr. L Xia
Date Deposited:	22 Nov 2012 02:56
Last Modified:	19 Jan 2017 08:21
URI:	http://scholars.utp.edu.my/id/eprint/8441

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