Manifold learning applied on EEG signal of the epileptic patients for detection of normal and pre-seizure states

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5489-5492

  Ataee, P ^a   Yazdani, A ^a   Setarehdan, S K ^a   Noubari, H A ^a,b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; PATIENT TREATMENT; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

EEG FEATURE VECTORS; EEG SIGNALS; MANIFOLD LEARNING (ML); MULTIDIMENSIONAL SCALING (MDS);

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; EVALUATION STUDY; HUMAN; METHODOLOGY; REFERENCE VALUE; REPRODUCIBILITY; SEIZURE; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; PATTERN RECOGNITION, AUTOMATED; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SEIZURES; SENSITIVITY AND SPECIFICITY;

EID: 57649199606     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353588     Document Type: Conference Paper

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