Enhanced automatic artifact detection based on independent component analysis and Rényi's entropy

DOI10.1016/J.NEUNET.2007.09.020zbMath1254.92057DBLPjournals/nn/MammoneM08OpenAlexW1966461768WikidataQ40099997 ScholiaQ40099997MaRDI QIDQ1932071

Nadia Mammone, Francesco Carlo Morabito

Publication date: 17 January 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2007.09.020

zbMATH Keywords

independent component analysiskurtosisShannon's entropyEEGRényi's entropyartifact

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Biomedical imaging and signal processing (92C55) Measures of information, entropy (94A17)

Related Items (2)

On extending the complex FastICA algorithms to noisy data ⋮ Adaptive wavelet transform method to identify cracks in gears

Uses Software

• FastICA
• EEGLAB

Cites Work

• Blind source separation using Renyi's \(\alpha\)-marginal entropies.
• Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis
• Unnamed Item

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