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

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 res...

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Bibliographic Details
Published in2014 IEEE 10th International Colloquium on Signal Processing and its Applications pp. 199 - 203
Main Authors Ali, M. S. A. Megat, Taib, M. N., Tahir, N. Md, Jahidin, A. H., Yassin, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2014
Subjects
EEG
Electroencephalography
equiripple filter
Filtering algorithms
Filtering theory
Finite impulse response filters
Frequency response
Hamming filter
Information filters
spectral centroid
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Summary: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 sub-bands. 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.
DOI:10.1109/CSPA.2014.6805747