A wavelet-based time-frequency analysis approach for classification of motor imagery for brain-computer interface applications

Keyphrases

• Brain-computer Interface 100%
• Motor Imagery 100%
• Wavelet Basis 100%
• Time-frequency Analysis 100%
• Electroencephalogram 66%
• Motor Imagery Task 66%
• Electrodes Pair 66%
• Human Subjects 33%
• Classification Accuracy 33%
• Control Signal 33%
• Input Signals 33%
• Electroencephalography 33%
• Goods Classification 33%
• Weighted Energy 33%
• Energy Difference 33%
• Event-related Desynchronization 33%
• Wavelet Decomposition 33%
• Synchronization Phenomena 33%
• Symmetric Electrode 33%
• Imaginary Movements 33%
• Time-frequency Distribution 33%

Engineering

• Brain-Computer Interface 100%
• Motor Imagery 100%
• Time Frequency Analysis 100%
• Input Signal 33%
• Energy Difference 33%
• Wavelet Decomposition 33%
• Control Signal 33%

Neuroscience

• Brain-Computer Interface 100%
• Electroencephalogram 100%