Motor imagery EEG signal classification based on deep transfer learning

Engineering

• Transfer Learning 100%
• Motor Imagery 100%
• Dataset 50%
• Models 33%
• Transforms 33%
• Brain-Computer Interface 33%
• Fields 16%
• Two Dimensional 16%
• One Dimensional 16%
• Input Data 16%
• Convolutional Neural Network 16%
• Classification Accuracy 16%
• Deep Neural Network 16%
• Accuracy 16%
• Performance 16%
• Testing 16%
• FIR Filter 16%
• Amplitude 16%
• Artifact 16%

Computer Science

• Deep Transfer Learning 100%
• Wavelet Transforms 33%
• Computer Interface 33%
• Model 33%
• Machine Learning 16%
• Convolutional Neural Network 16%
• Finite Impulse Response Filter 16%
• Deep Neural Network 16%
• Small Data Set 16%
• de-noising 16%
• Training Process 16%
• Accuracy 16%
• Testing 16%
• Classification Accuracy 16%
• Artifact 16%