Now showing items 1-3 of 3
Classification of Motor Imagery Signals by Convolutional Neural Network for BCI Applications
Electroencephalography (EEG) signals have been using for clinical purposes for many years. However, studies on the use of EEG signals in brain computer interface (BBA) applications are increasing. It is possible to control ...
8 Channel Mobile EEG Measurement Device Design
The need for portable and wearable EEG measurement systems has increased with the widespread use of EEG signals in many applications. In this study, a portable EEG measurement system with 8 channels, small size, wireless ...
Classification of Motor Imaginary Signals Using Stacked Autoencoders
(Institute of Electrical and Electronics Engineers Inc., 2020)
Motor imagery signals are one of the electroencephalography signals that occurs by subjects imagining the movement of a body limb and they used in brain computer interface applications. With the use of deep neural networks ...