Multimodal fusion of EEG and fMRI for epilepsy detection

Xiashuang Wang; Guanghong Gong; Ni Li

doi:10.1142/S1793962318500101

Multimodal fusion of EEG and fMRI for epilepsy detection

Xiashuang Wang
, Guanghong Gong
, Ni Li

自动化科学与电气工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

Technology of brain-computer interface (BCI) provides a new way of communication and control without language or physical action. Brain signal tracking and positioning is the basis of BCI research, while brain modeling affects the treatment analysis of (EEG) and functional magnetic resonance imaging (fMRI) directly. This paper proposes human ellipsoid brain modeling method. Then, we use non-parametric spectral estimation method of time-frequency analysis to deal with simulation and real EEG of epilepsy patients, which utilizes both the high spatial and the high time resolution to improve the doctor's diagnostic efficiency.

源语言	英语
文章编号	1850010
期刊	International Journal of Modeling, Simulation, and Scientific Computing
卷	9
期	2
DOI	https://doi.org/10.1142/S1793962318500101
出版状态	已出版 - 1 4月 2018

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10.1142/S1793962318500101

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abstract = "Technology of brain-computer interface (BCI) provides a new way of communication and control without language or physical action. Brain signal tracking and positioning is the basis of BCI research, while brain modeling affects the treatment analysis of (EEG) and functional magnetic resonance imaging (fMRI) directly. This paper proposes human ellipsoid brain modeling method. Then, we use non-parametric spectral estimation method of time-frequency analysis to deal with simulation and real EEG of epilepsy patients, which utilizes both the high spatial and the high time resolution to improve the doctor's diagnostic efficiency.",

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AU - Wang, Xiashuang

AU - Gong, Guanghong

AU - Li, Ni

PY - 2018/4/1

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N2 - Technology of brain-computer interface (BCI) provides a new way of communication and control without language or physical action. Brain signal tracking and positioning is the basis of BCI research, while brain modeling affects the treatment analysis of (EEG) and functional magnetic resonance imaging (fMRI) directly. This paper proposes human ellipsoid brain modeling method. Then, we use non-parametric spectral estimation method of time-frequency analysis to deal with simulation and real EEG of epilepsy patients, which utilizes both the high spatial and the high time resolution to improve the doctor's diagnostic efficiency.

AB - Technology of brain-computer interface (BCI) provides a new way of communication and control without language or physical action. Brain signal tracking and positioning is the basis of BCI research, while brain modeling affects the treatment analysis of (EEG) and functional magnetic resonance imaging (fMRI) directly. This paper proposes human ellipsoid brain modeling method. Then, we use non-parametric spectral estimation method of time-frequency analysis to deal with simulation and real EEG of epilepsy patients, which utilizes both the high spatial and the high time resolution to improve the doctor's diagnostic efficiency.

KW - Brain model

KW - medical diagnosis

KW - multimodal fusion

KW - time-frequency analysis

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Multimodal fusion of EEG and fMRI for epilepsy detection

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