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Bispectrum-based feature extraction technique for devising a practical brain-computer interface
Shahjahan Shahid,
G Prasad
School of Computing, Eng & Intel. Sys
Faculty Of Computing, Eng. & Built Env.
Research output
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Contribution to journal
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Article
›
peer-review
61
Citations (Scopus)
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Engineering
Brain-Computer Interface
100%
Based Feature Extraction
100%
Motor Imagery
100%
Feature Extraction
40%
Gaussians
40%
Detection Task
20%
Non-Linear Dynamic
20%
Performance Measure ψ
20%
Signal Processing
20%
Classification Accuracy
20%
Mutual Information
20%
Frequency Component
20%
Higher-Order Statistics
20%
Power Spectral Density
20%
Computer Science
Computer Interface
100%
Feature Extraction
100%
Signal Processing
20%
Classification Accuracy
20%
Performance Measure
20%
Nonlinear Interaction
20%
Higher-Order Statistics
20%
Linear Discriminant Analysis
20%
Mutual Information
20%
Detection Accuracy
20%
Frequency Component
20%
Power Spectral Density
20%