3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User.This research was aimed at presenting performance of 3-dimensional input convolutional neural networks for steady-state visual evoked potential classification in a wireless EEG-based brain-computer interface system. 
3D Input Convolutional Neural Network
3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User.This research was aimed at presenting performance of 3-dimensional input convolutional neural networks for steady-state visual evoked potential classification in a wireless EEG-based brain-computer interface system.  In this study, we used 3 types of signal classification methods that are 1-dimensional, 2-dimensional, and 3-dimensional input convolutional neural network.  According to online experiment with using 3-dimensional input convolutional neural network, we reached average classification accuracy rate and average information transfer rate as 93.75% and 58.35 bit/min, respectively.  Moreover, user task completion time was reduced with using 3-dimensional input convolutional neural network. 
Convolutional Neural Network
3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User.This research was aimed at presenting performance of 3-dimensional input convolutional neural networks for steady-state visual evoked potential classification in a wireless EEG-based brain-computer interface system.  In this study, we used 3 types of signal classification methods that are 1-dimensional, 2-dimensional, and 3-dimensional input convolutional neural network.  According to online experiment with using 3-dimensional input convolutional neural network, we reached average classification accuracy rate and average information transfer rate as 93.75% and 58.35 bit/min, respectively.  Moreover, user task completion time was reduced with using 3-dimensional input convolutional neural network. 
Convolutional Neural Network