A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs

Kianoush Nazarpour; Saeid Sanei; Jonathon A. Chambers

doi:10.1109/ICDSP.2007.4288535

A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs

Kianoush Nazarpour, Saeid Sanei, Jonathon A. Chambers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a novel iterative blind signal extraction (BSE) scheme for the removal of the eye-blink artifact from electroencephalogram (EEC) signals is proposed. In this method, in order to remove the artifact, the signal extraction algorithm is provided with a priori information, i.e., an estimation of the column of the mixing matrix corresponding to the eye- blink source. The a priori knowledge, namely the vector corresponding to the spatial distribution of the eye-blink factor, is identified by using the method of parallel factor analysis (PARAFAC). Hence, we call the BSE approach, semi- blind signal extraction (SBSE). The results demonstrate that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEC measurements.

Original language	English
Title of host publication	2007 15th International Conference on Digital Signal Processing
Publisher	Institute of Electrical and Electronics Engineers
Pages	127-130
Number of pages	4
ISBN (Print)	1-4244-0881-4
DOIs	https://doi.org/10.1109/ICDSP.2007.4288535
Publication status	Published - 13 Aug 2007
Event	2007 15th International Conference on Digital Signal Processing - Cardiff, United Kingdom Duration: 1 Jul 2007 → 4 Jul 2007

Publication series

Name
Publisher	IEEE
ISSN (Print)	1546-1874
ISSN (Electronic)	2165-3577

Conference

Conference	2007 15th International Conference on Digital Signal Processing
Country/Territory	United Kingdom
City	Cardiff
Period	1/07/07 → 4/07/07

Access to Document

10.1109/ICDSP.2007.4288535Licence: All Rights Reserved

https://ieeexplore.ieee.org/abstract/document/4288535Licence: All Rights Reserved

Cite this

@inproceedings{21e9b181de5b4413b4cb31f003bfb6b8,

title = "A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs",

abstract = "In this paper, a novel iterative blind signal extraction (BSE) scheme for the removal of the eye-blink artifact from electroencephalogram (EEC) signals is proposed. In this method, in order to remove the artifact, the signal extraction algorithm is provided with a priori information, i.e., an estimation of the column of the mixing matrix corresponding to the eye- blink source. The a priori knowledge, namely the vector corresponding to the spatial distribution of the eye-blink factor, is identified by using the method of parallel factor analysis (PARAFAC). Hence, we call the BSE approach, semi- blind signal extraction (SBSE). The results demonstrate that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEC measurements.",

author = "Kianoush Nazarpour and Saeid Sanei and Chambers, {Jonathon A.}",

year = "2007",

month = aug,

day = "13",

doi = "10.1109/ICDSP.2007.4288535",

language = "English",

isbn = "1-4244-0881-4",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "127--130",

booktitle = "2007 15th International Conference on Digital Signal Processing",

address = "United States",

note = "2007 15th International Conference on Digital Signal Processing ; Conference date: 01-07-2007 Through 04-07-2007",

}

Nazarpour, K, Sanei, S & Chambers, JA 2007, A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs. in 2007 15th International Conference on Digital Signal Processing. Institute of Electrical and Electronics Engineers, pp. 127-130, 2007 15th International Conference on Digital Signal Processing, Cardiff, United Kingdom, 1/07/07. https://doi.org/10.1109/ICDSP.2007.4288535

A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs. / Nazarpour, Kianoush; Sanei, Saeid; Chambers, Jonathon A.
2007 15th International Conference on Digital Signal Processing. Institute of Electrical and Electronics Engineers, 2007. p. 127-130.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs

AU - Nazarpour, Kianoush

AU - Sanei, Saeid

AU - Chambers, Jonathon A.

PY - 2007/8/13

Y1 - 2007/8/13

N2 - In this paper, a novel iterative blind signal extraction (BSE) scheme for the removal of the eye-blink artifact from electroencephalogram (EEC) signals is proposed. In this method, in order to remove the artifact, the signal extraction algorithm is provided with a priori information, i.e., an estimation of the column of the mixing matrix corresponding to the eye- blink source. The a priori knowledge, namely the vector corresponding to the spatial distribution of the eye-blink factor, is identified by using the method of parallel factor analysis (PARAFAC). Hence, we call the BSE approach, semi- blind signal extraction (SBSE). The results demonstrate that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEC measurements.

AB - In this paper, a novel iterative blind signal extraction (BSE) scheme for the removal of the eye-blink artifact from electroencephalogram (EEC) signals is proposed. In this method, in order to remove the artifact, the signal extraction algorithm is provided with a priori information, i.e., an estimation of the column of the mixing matrix corresponding to the eye- blink source. The a priori knowledge, namely the vector corresponding to the spatial distribution of the eye-blink factor, is identified by using the method of parallel factor analysis (PARAFAC). Hence, we call the BSE approach, semi- blind signal extraction (SBSE). The results demonstrate that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEC measurements.

U2 - 10.1109/ICDSP.2007.4288535

DO - 10.1109/ICDSP.2007.4288535

M3 - Conference contribution

SN - 1-4244-0881-4

SP - 127

EP - 130

BT - 2007 15th International Conference on Digital Signal Processing

PB - Institute of Electrical and Electronics Engineers

T2 - 2007 15th International Conference on Digital Signal Processing

Y2 - 1 July 2007 through 4 July 2007

ER -

A Novel Semi-Blind Signal Extraction Approach Incorporating Parafac for the Removal of Eye-Blink Artifact from EEGs

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