Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05134-x.pdf
Reference31 articles.
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3. Bashashati A, Fatourechi M, Ward RK, Birch GE (2007) A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J Neural Eng 4(2):32–57. https://doi.org/10.1088/1741-2560/4/2/R03
4. Nicolas-Alonso LF, Gomez-Gil J (2012) Brain computer interfaces, a review. Sensors (Basel, Switzerland)12(2):1211–79. https://doi.org/10.3390/s120201211
5. Sun S, Zhou J (2014) A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces. In: 2014 International joint conference on neural networks (IJCNN), pp 1746–1753. https://doi.org/10.1109/IJCNN.2014.6889525
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