Signaleeg-Reference-Cited by-同舟云学术

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Signaleeg

Published:2021-01-21 Issue:4 Volume:19 Page:567-583
ISSN:1539-2791
Container-title:Neuroinformatics
language:en
Short-container-title:Neuroinform

Author:

Massana Joaquim^ORCID,Raya Òscar^ORCID,Gauchola Jaume^ORCID,López Beatriz^ORCID

Funder

Horizon 2020

Generalitat de Catalunya

Ministerio de Asuntos Económicos y Transformación Digital

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s12021-020-09507-2.pdf

Reference61 articles.

1. Aguera, P.E., Jerbi, K., Caclin, A., & Bertrand, O. (2011). Elan: a software package for analysis and visualization of meg, eeg, and lfp signals. Computational Intelligence and Neuroscience, 2011, 158970. https://doi.org/10.1155/2011/158970.

2. Banerjee, P.N., Filippi, D., & Hauser, W.A. (2009). The descriptive epidemiology of epilepsy—a review. Epilepsy Research, 85 (1), 31–45. https://doi.org/10.1016/j.eplepsyres.2009.03.003. http://www.sciencedirect.com/science/article/pii/S0920121109000692.

3. Barros, A.K., Mansour, A., & Ohnishi, N. (1998). Removing artifacts from electrocardiographic signals using independent components analysis. Neurocomputing, 22(1), 173–186. https://doi.org/10.1016/S0925-2312(98)00056-3http://www.sciencedirect.com/science/article/pii/S0925231298000563.

4. Batista, G.E.A.P.A., Prati, R.C., & Monard, M.C. (2004). A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations Newsletter, 6(1), 20–29. https://doi.org/10.1145/1007730.1007735.

5. Bein, B. (2006). Entropy. Best Practice & Research Clinical Anaesthesiology, 20 (1), 101–109. https://doi.org/10.1016/j.bpa.2005.07.009. http://www.sciencedirect.com/science/article/pii/S1521689605000558, monitoring Consciousness.

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