Classification of coma/brain-death EEG dataset based on one-dimensional convolutional neural network
Author:
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-09942-2.pdf
Reference17 articles.
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3. Andrzejak RG, Schindler K, Rummel C (2012) Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys Rev E 86(4):046206. https://doi.org/10.1103/PhysRevE.86.046206
4. Cao J (2006) Analysis of the quasi-brain-death EEG data based on a robust ICA approach. In: International conference on knowledge-based and intelligent information and engineering systems, pp 1240–1247. Springer, https://doi.org/10.1007/11893011_157
5. Cao J, Chen Z (2008) Advanced EEG signal processing in brain death diagnosis. In: signal processing techniques for knowledge extraction and information fusion, pp 275–298. Springer, https://doi.org/10.1007/978-0-387-74367-7_15
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