A new algorithm for EEG feature selection using mutual information

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2001, Pages 1057-1060

  Deriche, Mohamed ^a   Al Ani, Ahmed ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTROENCEPHALOGRAPHY; ESTIMATION; FEATURE EXTRACTION; SET THEORY; VECTORS;

FEATURE SELECTION; FEATURE SUBSETS; MUTUAL INFORMATION; RANDOM VARIABLES;

SIGNAL PROCESSING;

EID: 0034842332     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.941101     Document Type: Article

References (5)

1. Using mutual information for selecting features in supervised neural net learning
2. Syntactic pattern recognition applied to sleep EEG staging
3. Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering
4. Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
5. Extraction of spatio-temporal signatures from depth EEG seizure signals based on objective matching in warped vectorial observations