Classification of multichannel EEG patterns using parallel hidden markov models

Keyphrases

• Hidden Markov Model 100%
• Electroencephalogram 100%
• Electroencephalogram Patterns 100%
• Multichannel Electroencephalogram 100%
• Electroencephalography 33%
• Classification Accuracy 33%
• Model-based Approach 33%
• Sensorimotor 33%
• Improvement Factor 33%
• Motor Imagery Task 33%
• Multi-channel 33%
• Left-to-right 33%
• Computer Screen 33%
• Temporal Sequence 33%
• Cursor 33%
• Pattern Classification 33%
• Support Vector Machine Classifier 33%
• Linear Kernel 33%
• Downward Movement 33%
• Channel Representation 33%
• Model Driven Architecture 33%
• Parallel Combination 33%
• Upward Movement 33%

Computer Science

• And-States 100%
• Pattern Classification 100%
• Support Vector Machine 100%
• Computer Screen 100%
• Parallel Combination 100%
• Model Architecture 100%

Engineering

• Multichannel 100%
• Tasks 66%
• Gaussians 33%
• Support Vector Machine 33%
• Motor Imagery 33%
• Computer Screen 33%
• Parallel Combination 33%