Adaptive SSA Based Muscle Artifact Removal from Single Channel EEG Using Neural Network Regressor

IRBM4.80
Volume: 42, Issue: 5, Pages: 324 - 333
Published: Oct 1, 2021
Abstract
Electroencephalogram (EEG) signals are obtained from the scalp surface to study various neuro-physiological functions of brain. Often, these signals are obscured by the other physiological signals of the subject from heart, eye and facial muscles. Hence, the successive applications of EEG are adversely affected. The wide spectrum and high amplitude variation of muscle artifact overlaps EEG both in spectral and temporal domain. In this paper, an...
Paper Details
Title
Adaptive SSA Based Muscle Artifact Removal from Single Channel EEG Using Neural Network Regressor
Published Date
Oct 1, 2021
Journal
Volume
42
Issue
5
Pages
324 - 333
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