Evaluation of brainwave sub-band spectral centroid in human intelligence

Jahidin, A. H.; Taib, Mohd Nasir; Ali, Megat Syahirul Amin Megat; Tahir, Nooritawati Md; Lias, Sahrim; Haron, Mohamad Hushnie; Isa, Roshakimah Mohd; Omar, W. R. W.; Fuad, N.

doi:10.1109/cspa.2013.6530059

Cited by 11 publications

(3 citation statements)

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“…As shown in Eq. 3, the SC frequency, SCF is then computed as the average of amplitude weighted frequencies, divided by the total amplitude, where M is the number of frequency bins, i is the EEG sub-band, and S[f]w i [f] is the power of the spectral distribution corresponding to frequency, f at bin i [12,23].…”

Section: Spectral Centroid (Sc) Frequencymentioning

confidence: 99%

“…Further processing would then be required to quantify the spectral information. Several techniques has since be utilized which include band power [6], coherence [6,9], power ratio [11] and spectral centroid (SC) frequencies [12,13]. It was discovered that use of SC frequency as a feature is relatively new.…”

Section: Introductionmentioning

confidence: 99%

“…It was discovered that use of SC frequency as a feature is relatively new. The technique has been applied to characterize level of intelligence [12] and stress [13,14].…”

Section: Introductionmentioning

confidence: 99%

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EEG sub-band spectral centroid frequencies extraction based on Hamming and equiripple filters: A comparative study

Ali

Taib

Tahir

et al. 2014

2014 IEEE 10th International Colloquium on Signal Processing and Its Applications

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The paper discusses on the effects of Hamming and equiripple filters in the extraction of EEG sub-band spectral centroid frequencies. A total of 40 healthy male subjects have participated in the study. EEG signal sub-bands were filtered using Hamming and equiripple filters with similar frequency response characteristics. It has been observed that the mean difference and variance is very small for all major EEG subbands. Implementation of Hamming filter however, induced 91% higher computational requirements as compared to that of the equiripple filters. Hence findings reveal that with similar frequency response characteristics, equiripple filters perform as the more efficient alternative for computation of spectral centroid frequencies.Index Terms-EEG, Hamming filter, equiripple filter, spectral centroid.978-1-4799-3091-3/14/$31.00 ©2014 IEEE

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Section: Spectral Centroid (Sc) Frequencymentioning

confidence: 99%