EMD-based temporal and spectral features for the classification of EEG signals using supervised learning

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 24, Issue 1, 2016, Pages 28-35

  Riaz, Farhan ^a   Hassan, Ali ^a   Rehman, Saad ^a   Niazi, Imran Khan ^b,c   Dremstrup, Kim ^c  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

^b New Zealand College of Chiropractic   (New Zealand)

^c AALBORG UNIVERSITY   (Denmark)

Author keywords

Classification; Empirical mode decomposition (EMD); Feature extraction.

Indexed keywords

CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; EXTRACTION; FEATURE EXTRACTION; SIGNAL ANALYSIS; SUPPORT VECTOR MACHINES;

CLASSIFICATION RESULTS; COEFFICIENT OF VARIATION; ELECTROENCEPHALOGRAM SIGNALS; EMPIRICAL MODE DECOMPOSITION; FEATURE EXTRACTION METHODS; FREQUENCY COMPONENTS; INTRINSIC MODE FUNCTIONS; NONSTATIONARY SIGNALS;

BIOMEDICAL SIGNAL PROCESSING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAPHY; EMPIRICAL MODE DECOMPOSITION; EPILEPSY; HUMAN; INTRINSIC MODE FUNCTION; MACHINE LEARNING; MATHEMATICAL ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; PATHOPHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPATIOTEMPORAL ANALYSIS; SUPERVISED MACHINE LEARNING;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPATIO-TEMPORAL ANALYSIS; SUPERVISED MACHINE LEARNING;

EID: 85018918895     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2015.2441835     Document Type: Article

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