基于自适应神经模糊推理系统的脑电信号伪影去除

2007 International Conference on Signal Processing, Communications and Networking Pub Date : 2007-11-05 DOI:10.1109/ICSCN.2007.350676

C. Kezi Selva Vijilal, P. Kanagasabapathy, Stanly Johnson Jeyaraj, V. Ewards

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引用次数: 20

摘要

在本文中，我们提出了一种称为自适应神经模糊推理系统(ANFIS)的混合软计算技术来估计干扰，并将脑电图(EEG)信号从其眼电信号(EOG)、心电图(ECG)和肌电信号(EMG)伪影中分离出来。结果表明，该方法能够有效地去除伪影，提取出理想的脑电信号

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Artifacts Removal in EEG Signal using Adaptive Neuro Fuzzy Inference System

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

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2007 International Conference on Signal Processing, Communications and Networking

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