Transposed Convolution as Alternative Preprocessor for Brain-Computer Interface Using Electroencephalogram

Transposed Convolution as Alternative Preprocessor for Brain-Computer Interface Using Electroencephalogram

The implementation of a brain–computer interface (BCI) using electroencephalography typically entails two phases: feature extraction and classification utilizing a classifier. Consequently, there are numerous disordered combinations of feature extraction and classification techniques that apply to e...

Full description

Bibliographic Details
Main Authors: Kenshi Machida, Isao Nambu, Yasuhiro Wada
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
BCI competition IV
brain–computer interface
convolutional neural network
electroencephalogram
transposed convolution
Online Access:https://www.mdpi.com/2076-3417/13/6/3578

Internet

https://www.mdpi.com/2076-3417/13/6/3578

Similar Items