Comparison of ICA and WT with S-transform based method for removal of ocular artifact from EEG signals

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
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"Comparison of ICA and WT with S-transform based method for removal of ocular artifact from EEG signals"
written by Kedarnath Senapati, Aurobinda Routray,
published by Journal of Biomedical Science and Engineering, Vol.4 No.5, 2011

has been cited by the following article(s):

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[4]	基于扩展 Infomax 与 DOST 的多导联睡眠脑电伪迹去除方法研究
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[6]	Application of Hyperbolic S-transform in Environmental Gravity InvestigationMousavi and Ardestani: Application of Hyperbolic S-transform
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[8]	Recognized Pattern from S-Spectrum of 1-D and 2-D Gravity Data
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[9]	Depth estimation of gravity anomalies by S-transform of analytic signal
	فیزیک زمین و فضا, 2015

[10]	Assessing EEG sleep spindle propagation. Part 1: Theory and proposed methodology
	Journal of neuroscience methods, 2014

[11]	Dynamic Fuzzy Neural Network Based Learning Algorithms for Ocular Artefact Reduction in EEG Recordings
	Neural processing letters, 2014

[12]	Conception and development of modular probabilistic neural network ensemble Classifiers for multiple source partial discharge pattern recognition
	2014

[13]	Review of independent component analysis and its reconfigurable design
	International Journal of Management, IT and Engineering, 2013

[14]	Eye interference reduction in electroencephalogram recordings using a radial basic function
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[1]	Machine Intelligence and Signal Analysis Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-981-13-0923-6_5

[2]	Bioelectronics and Medical Devices 2019 DOI:10.1016/B978-0-08-102420-1.00038-8

[3]	Application of Hyperbolic S-transform in Environmental Gravity Investigation Journal of Environmental and Engineering Geophysics, 2016 DOI:10.2113/JEEG21.2.47

[4]	Dynamic Fuzzy Neural Network Based Learning Algorithms for Ocular Artefact Reduction in EEG Recordings Neural Processing Letters, 2014 DOI:10.1007/s11063-013-9289-6

[5]	Assessing EEG sleep spindle propagation. Part 1: Theory and proposed methodology Journal of Neuroscience Methods, 2014 DOI:10.1016/j.jneumeth.2013.08.013

[6]	Eye interference reduction in electroencephalogram recordings using a radial basic function IET Signal Processing, 2013 DOI:10.1049/iet-spr.2011.0443

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