Discrimination of brain states using wavelet and power spectral density

Zafar, R. and Malik, A.S. and Amin, H.U. and Kamel, N. and Dass, S.C. (2015) Discrimination of brain states using wavelet and power spectral density. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9492. pp. 341-347. ISSN 03029743

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Abstract

Cognitive task produces activation in the brain which are different from normal state. In order to study the brain behavior during cognitive state, different techniques are available. Wavelet energy and power spectral density (PSD) are well established methods for brain signal classification. In this paper, cognitive state of the brain is compared with the baseline using EEG. Data are taken from all lobes of the brain to see the effect of cognitive task in the whole brain and analyzed using wavelet energy and PSD. Graph of wavelet energy and power spectral density are plotted separately for each subject to see the effect individually. Individual results showed that the behavior of human brain change with the cognitive task and this change occurred in most of the human brain. This change is due to the neural activity which is increased during the cognitive task (IQ) and is better measured with wavelet compared to PSD. © Springer International Publishing Switzerland 2015.

Item Type: Article
Additional Information: cited By 1; Conference of 22nd International Conference on Neural Information Processing, ICONIP 2015 ; Conference Date: 9 November 2015 Through 12 November 2015; Conference Code:157039
Uncontrolled Keywords: Behavioral research; Brain; Electrophysiology; Information science; Neurons; Power spectral density; Spectral density, Brain signals; Cognitive state; Cognitive task; Neural activity; Normal state; Power spectral densities (PSD); Wavelet energy; Whole brains, Electroencephalography
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:17
Last Modified: 09 Nov 2023 16:17
URI: https://khub.utp.edu.my/scholars/id/eprint/6175

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