IEICE TRANSACTIONS on Fundamentals
Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG
Summary :
This paper describes the background noise estimation technique of the tensor product expansion with absolute error (TPE-AE) to estimate multiple sources. The electroencephalogram (EEG) signal produced by the saccadic eye movement is adopted to analyze relationship between a brain function and a human activity. The electrooculogram (EOG) generated by eye movements yields significant problems for the EEG analysis. The denoising of EOG artifacts is important task to perform an accurate analysis. In this paper, the two types of TPE-AE are proposed to estimates EOG and other components in EEG during eye movement. One technique estimates two outer products using median filter based TPE-AE. The another technique uses a reference signal to separate the two sources. We show that the proposed method is effective to estimate and separate two sources in EEG.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2230-2237
- Publication Date
- 2017/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2230
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Digital Signal Processing
Authors
Akitoshi ITAI
Chubu University
Arao FUNASE
Nagoya Institute of Technology
Andrzej CICHOCKI
RIKEN
Hiroshi YASUKAWA
Aichi Prefectural University
Keyword
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Akitoshi ITAI, Arao FUNASE, Andrzej CICHOCKI, Hiroshi YASUKAWA, "Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 11, pp. 2230-2237, November 2017, doi: 10.1587/transfun.E100.A.2230.
Abstract: This paper describes the background noise estimation technique of the tensor product expansion with absolute error (TPE-AE) to estimate multiple sources. The electroencephalogram (EEG) signal produced by the saccadic eye movement is adopted to analyze relationship between a brain function and a human activity. The electrooculogram (EOG) generated by eye movements yields significant problems for the EEG analysis. The denoising of EOG artifacts is important task to perform an accurate analysis. In this paper, the two types of TPE-AE are proposed to estimates EOG and other components in EEG during eye movement. One technique estimates two outer products using median filter based TPE-AE. The another technique uses a reference signal to separate the two sources. We show that the proposed method is effective to estimate and separate two sources in EEG.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2230/_p
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@ARTICLE{e100-a_11_2230,
author={Akitoshi ITAI, Arao FUNASE, Andrzej CICHOCKI, Hiroshi YASUKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG},
year={2017},
volume={E100-A},
number={11},
pages={2230-2237},
abstract={This paper describes the background noise estimation technique of the tensor product expansion with absolute error (TPE-AE) to estimate multiple sources. The electroencephalogram (EEG) signal produced by the saccadic eye movement is adopted to analyze relationship between a brain function and a human activity. The electrooculogram (EOG) generated by eye movements yields significant problems for the EEG analysis. The denoising of EOG artifacts is important task to perform an accurate analysis. In this paper, the two types of TPE-AE are proposed to estimates EOG and other components in EEG during eye movement. One technique estimates two outer products using median filter based TPE-AE. The another technique uses a reference signal to separate the two sources. We show that the proposed method is effective to estimate and separate two sources in EEG.},
keywords={},
doi={10.1587/transfun.E100.A.2230},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2230
EP - 2237
AU - Akitoshi ITAI
AU - Arao FUNASE
AU - Andrzej CICHOCKI
AU - Hiroshi YASUKAWA
PY - 2017
DO - 10.1587/transfun.E100.A.2230
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - This paper describes the background noise estimation technique of the tensor product expansion with absolute error (TPE-AE) to estimate multiple sources. The electroencephalogram (EEG) signal produced by the saccadic eye movement is adopted to analyze relationship between a brain function and a human activity. The electrooculogram (EOG) generated by eye movements yields significant problems for the EEG analysis. The denoising of EOG artifacts is important task to perform an accurate analysis. In this paper, the two types of TPE-AE are proposed to estimates EOG and other components in EEG during eye movement. One technique estimates two outer products using median filter based TPE-AE. The another technique uses a reference signal to separate the two sources. We show that the proposed method is effective to estimate and separate two sources in EEG.
ER -
English
