ARTIFACTS ALLOCATION IN EEG-SIGNALS ON THE BASIS OF DYNAMIC MODELS

Document Type : Research Paper

Authors

1 Assistant Professors, Department of Electrical Engineering, Technology

2 Engineering Faculty of Amman, Al-Balqa' Applied University, Jordan

Abstract

Two algorithms of artifacts allocation in EEG-signals are described. For signal representation an autoregressive model is used. As a measure of distinction of segments in an EEG-signal the Kullback information is used. Results of real EEG-signal processing are demonstrated.

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