Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot
This paper introduces the use of the one-dimensional convolutional neural network (1D-CNN) for end-to-end EEG decoding with application towards a BCI system with a shared control scheme. In general, subjects wearing a single-channel EEG electrode located at F8 (10–20 international standards) were re...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/91114/ http://dx.doi.org/10.1007/s00521-020-05393-6 |
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