Whitening 1/F-Type Noise In Electroencephalogram Signals For Steady-State Visual Evoked Potential Brain-Computer Interfaces

Abstract

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 -pitch domain. Based on the α-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.

Publication Date

4-24-2015

Publication Title

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volume

2015-April

Number of Pages

204-207

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ACSSC.2014.7094428

Socpus ID

84940482435 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84940482435

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