Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings

Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electroencephalographic (EEG) recordings are often contaminated by the artifacts, signals that have non-cerebral origin and that might mimic cognitive or pathologic activity and therefore distort the analysis of EEG. In this paper the issue of artifact extraction from Electroencephalographic data is addressed and a new technique for EEG artifact removal, based on the joint use of Wavelet transform and Independent Component Analysis (WICA), is presented and compared to two other techniques based on ICA and wavelet denoising. An artificial artifact-laden EEG dataset was created mixing a real EEG with a set of synthesized artifacts. This dataset was processed by WICA and the two other methods. The proposed technique had the best artifact separation performance for every kind of artifact also allowing for the minimum information loss.

Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
Pages1524-1529
Number of pages6
DOIs
Publication statusPublished - 2007
Event2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL, United States
Duration: Aug 12 2007Aug 17 2007

Other

Other2007 International Joint Conference on Neural Networks, IJCNN 2007
CountryUnited States
CityOrlando, FL
Period8/12/078/17/07

Fingerprint

Independent component analysis
Wavelet transforms

ASJC Scopus subject areas

  • Software

Cite this

Inuso, G., La Foresta, F., Mammone, N., & Morabito, F. C. (2007). Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. In IEEE International Conference on Neural Networks - Conference Proceedings (pp. 1524-1529). [4371184] https://doi.org/10.1109/IJCNN.2007.4371184

Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. / Inuso, Giuseppina; La Foresta, Fabio; Mammone, Nadia; Morabito, Francesco Carlo.

IEEE International Conference on Neural Networks - Conference Proceedings. 2007. p. 1524-1529 4371184.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Inuso, G, La Foresta, F, Mammone, N & Morabito, FC 2007, Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. in IEEE International Conference on Neural Networks - Conference Proceedings., 4371184, pp. 1524-1529, 2007 International Joint Conference on Neural Networks, IJCNN 2007, Orlando, FL, United States, 8/12/07. https://doi.org/10.1109/IJCNN.2007.4371184
Inuso G, La Foresta F, Mammone N, Morabito FC. Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. In IEEE International Conference on Neural Networks - Conference Proceedings. 2007. p. 1524-1529. 4371184 https://doi.org/10.1109/IJCNN.2007.4371184
Inuso, Giuseppina ; La Foresta, Fabio ; Mammone, Nadia ; Morabito, Francesco Carlo. / Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. IEEE International Conference on Neural Networks - Conference Proceedings. 2007. pp. 1524-1529
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