Artifacts removal in EEG signal using adaptive neuro fuzzy inference system

被引：0

作者：

Vijila, C. Kezi Selva ^{[1
]}

Kanagasabapathy, P. ^{[2
]}

Johnson, Stanley ^{[1
]}

Ewards, Vinodh ^{[1
]}

机构：

[1] Karunya Univ, Coimbatore, Tamil Nadu, India

[2] Anna Univ, MIT, Madras, Tamil Nadu, India

来源：

2007 INTERNATIONAL CONFERENCE OF SIGNAL PROCESSING, COMMUNICATIONS AND NETWORKING, VOLS 1 AND 2 | 2006年

关键词：

neuro fuzzy; adaptive noise cancellation; EEG extraction; ANFIS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a hybrid soft computing technique called Adaptive Neuro-Fuzzy Inference System (ANFIS) to estimate the interference and to separate the Electroencephalogram (EEG) signal from its Electrooculogram (EOG), Electrocardiogram (ECG) and Electromyogram (EMG) artifacts. This paper shows that the proposed method successfully removes the artifacts and extracts the desired EEG signal.

引用

页码：589 / +

页数：2

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