Title :
EEG spectral centroid amplitude and band power features: A correlation analysis
Author :
Megat Ali, M.S.A. ; Taib, M.N. ; Md Tahir, Nooritawati ; Jahidin, A.H.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
Abstract :
The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral densities are estimated via Welch method. Subsequently, spectral centroid amplitude and band power features are then computed from the power spectral density of the respective sub-bands. Correlation analysis between the two features is performed for each scalp location to ascertain its relationship. Findings have revealed that the EEG sub-band spectral centroid amplitude is highly correlated with the band power features for all scalp locations.
Keywords :
band-pass filters; electroencephalography; feature extraction; medical signal processing; signal denoising; skin; EEG subband spectral centroid amplitude; Welch method; alpha waves; band power features; band-pass filters; beta waves; correlation analysis; delta waves; filtering; preprocessed noise removal; resting EEG recording; scalp location; subband power spectral densities; theta waves; Band-pass filters; Coherence; Correlation; Electroencephalography; Scalp; Sleep; Speech recognition; EEG; band power; correlation; spectral centroid amplitude;
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC), 2014 IEEE 5th
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-5691-3
DOI :
10.1109/ICSGRC.2014.6908726