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109907

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

Article

Last updated: 26 Dec 2024

Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

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.

DOI

10.21608/jesaun.2006.109907

Keywords

Electroencephalography, Artifacts, dynamic models, Kullback information, autoregressive model

Authors

First Name

Al-Kasasbeh Riad

Last Name

Taha

MiddleName

-

Affiliation

Assistant Professors, Department of Electrical Engineering, Technology

Email

-

City

-

Orcid

-

First Name

Yousif

Last Name

Eltous

MiddleName

-

Affiliation

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

Email

-

City

-

Orcid

-

Volume

34

Article Issue

No 1

Related Issue

16603

Issue Date

2006-01-01

Receive Date

2005-08-17

Publish Date

2006-01-01

Page Start

69

Page End

77

Print ISSN

1687-0530

Online ISSN

2356-8550

Link

https://jesaun.journals.ekb.eg/article_109907.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=109907

Order

4

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

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

Details

Type

Article

Created At

23 Jan 2023