Open AccessDetection of artifacts in the EEG signal with using wavelet transform
Author(s) -
Anton Popov,
A.M. Kanajkin,
K.A. Roshchina,
Оleg Chertov,
V.A. SHashkov
Publication year - 2011
Publication title -
èlektronika i svâzʹ
Language(s) - English
Resource type - Journals
eISSN - 2312-1807
pISSN - 1811-4512
DOI - 10.20535/2312-1807.2011.16.4.245547
Subject(s) - signal (programming language) , electroencephalography , artificial intelligence , computer science , wavelet transform , wavelet , pattern recognition (psychology) , discrete wavelet transform , computer vision , task (project management) , speech recognition , engineering , psychology , psychiatry , programming language , systems engineering
The paper considers the task of cleaning up the EEG signal from artifacts. Method for identifying electrooculogram and signal recovery after its removal using discrete wavelet transform of the electroencephalogram is proposed. The developed method showed nice results on examined examples of real signals at localization and removal of artifacts