Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11002319 | Expert Systems with Applications | 2018 | 25 Pages |
Abstract
Conclusion: The results are comparable with the reported accuracy values in related studies and the presented model outperforms the results in the literature on the same underlying data. Given that the model can learn features from data without having to use specialized feature extraction methods, DL should be considered as an alternative to established EEG classification methods, if enough data is available.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hauke Dose, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady,