Application of multivariate empirical mode decomposition for seizure detection in EEG signals

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 1650-1653

  Ur Rehman, Naveed ^a   Xia, Yili ^a   Mandic, Danilo P ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EEG RECORDING; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; EMPIRICAL MODE DECOMPOSITION; FREQUENCY COMPONENTS; HILBERT HUANG TRANSFORMS; INTRINSIC MODE FUNCTIONS; MEAN FREQUENCY; MULTICHANNEL EEG; SEIZURE DETECTION; SIMULATION RESULT;

SIGNAL PROCESSING; STATISTICAL TESTS;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; MULTIVARIATE ANALYSIS; REPRODUCIBILITY; SEIZURE; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SEIZURES; SENSITIVITY AND SPECIFICITY;

EID: 78650841059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626665     Document Type: Conference Paper

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