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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[9]	Depth estimation of gravity anomalies by S-transform of analytic signal
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[10]	Assessing EEG sleep spindle propagation. Part 1: Theory and proposed methodology
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[11]	Dynamic Fuzzy Neural Network Based Learning Algorithms for Ocular Artefact Reduction in EEG Recordings
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[12]	Conception and development of modular probabilistic neural network ensemble Classifiers for multiple source partial discharge pattern recognition
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[13]	Review of independent component analysis and its reconfigurable design
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[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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