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The Analysis of the Specific Dictionaries for Compressive Sensing of EEG Signals

Authors:
Monica Fira
Victor-Andrei Maiorescu
Liviu Goras

Keywords: EEG; Compressed sensing; BCI; P300.

Abstract:
In this paper the possibility of the electroencephalogram (EEG) compressed sensing based on specific dictionaries is presented. Three types of dictionaries (wavelet, temporal EEG signal specific, and channel specific) are analyzed and the results are expressed through quantitative measures (distortion) and by qualitative measures (stimulus classification rate of the Brain Computer Interface (BC)I paradigm - Spelling).

Pages: 380 to 385

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-468-8

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016