Whitening 1/f-type Noise in Electroencephalogram Signals for Steady-State Visual Evoked Potential Brain-Computer Interfaces

被引：0
|
作者：
Paris, Alan [1 ]
Vosoughi, Azadeh [2 ]
Atia, George [2 ]
机构：
[1] Univ Cent Florida, Modeling & Simulat Program, Orlando, FL 32816 USA
[2] Univ Cent Florida, Dept Elect Engn & Comp Sci, Orlando, FL 32816 USA
来源：
CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS | 2014年
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D O I：
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method is proposed to whiten 1-f-type background noise in electroencephalogram data by a nonlinear spectral transformation from the frequency domain to a newly-defined alpha-pitch domain. Based on the alpha-pitch spectra of steady-state visual evoked potentials, an algorithm called octave-averaged spectral rectification is applied which simultaneously attenuates 1-f noise while enhancing resonance peaks. This has important potential benefits for gamma-band brain-computer interfaces.
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页码：204 / 207
页数：4
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