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Fully automated unsupervised artefact removal in multichannel electroencephalogram using wavelet‐independent component analysis with density‐based spatial clustering of application with noise

机译：使用小波独立的分量分析，用基于密度的空间聚类，在多通道脑电图中拆除多通道脑电图中的储存，其应用噪声

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Chong Yeh Sai; Norrima Mokhtar; Masahiro Iwahashi; Paul Cumming; Hamzah Arof;
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年度 2021
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1. Automated diagnosis of epileptic electroencephalogram using independent component analysis and discrete wavelet transform for different electroencephalogram durations [J] . Acharya UR, Yanti R, Swapna G, Proceedings of the Institution of Mechanical Engineers, Part H. Journal of Engineering in Medicine . 2013,第3期

机译：使用独立分量分析和离散小波变换针对不同的脑电图持续时间自动诊断癫痫性脑电图
2. Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data [J] . Guerrero-Mosquera C. Signal Processing, IET . 2012,第2期

机译：使用自适应滤波和独立分量分析对脑电图数据自动去除眼部伪影
3. Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent component analysis based recursive least squares in brain-computer interface [J] . Bang-hua?Yang, Liang-fei?He, Lin?Lin, Frontiers of Information Technology & Electronic Engineering . 2015,第6期

机译：在脑机接口中使用基于空间约束无关分量分析的递归最小二乘法快速从脑电图信号中去除眼部伪影
4. Artifact Removal from EEG using Spatially Constrained Independent Component Analysis and Wavelet Denoising with Otsu's Thresholding Technique [C] . G.Geetha, S.N.Geethalakshmi International Conference on Communication Technology and System Design . 2013

机译：使用空间约束的独立分量分析和用OTSU的阈值技术去除小波去噪从脑电图中移除
5. Multichannel classification of brain-wave representations of language by perceptron-based models and independent component analysis. [D] . Wong, Dik Kin. 2004

机译：基于感知器的模型和独立成分分析对语言的脑电波表示进行多通道分类。
6. Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis [O] . Mohamed F. Issa, Zoltan Juhasz 2019

机译：使用小波增强的独立分量分析改进的EOG伪像去除
7. Removal of EOG artefacts by combining wavelet neural network and independent component analysis [O] . Burger Christiaan, van den Heever David Jacobus 2015

机译：结合小波神经网络和独立分量分析去除EOG伪像

Fully automated unsupervised artefact removal in multichannel electroencephalogram using wavelet‐independent component analysis with density‐based spatial clustering of application with noise

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