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EEG calmness index establishment using computational of Z-score

Aris, S. A. M. and Bani, N. A. and Muhtazaruddin, M. N. and Taib, M. N. (2018) EEG calmness index establishment using computational of Z-score. International Journal of Engineering & Technology, 7 (4.11). pp. 44-48. ISSN 2227-524X


Official URL: http://dx.doi.org/10.14419/ijet.v7i4.11.20686


A lot of useful information can be obtained through observation of the electroencephalogram (EEG) signal such as the human psychophysiology. It has been proven that EEG is handy in human diagnosis and tools to observe the brain condition. The study aims to establish a calmness index, which can differentiate the calmness level of an individual. Alpha waves were selected as the data features and computed into asymmetry index. The data features were clustered using Fuzzy C-Means (FCM) and resulted in three clusters. Wilcoxon Signed Ranks test was applied to determine the significance of the data features clustered by FCM. The Z-score obtained successfully distinguish three level of calmness index from the lower index until the higher index. With the advancement of signal processing techniques, the feature extractions for calmness index establishment computation is achievable.

Item Type:Article
Uncontrolled Keywords:EEG, calmness index, z-score, alpha waves, Wilcoxon signed ranks test
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:84798
Deposited By: Yanti Mohd Shah
Deposited On:27 Feb 2020 04:58
Last Modified:27 Feb 2020 04:58

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