Application of intrinsic Time-scale decomposition (ITD) to EEG signals for automated seizure prediction

International Journal of Neural Systems

Volumn 23, Issue 5, 2013, Pages

  Martis, Roshan Joy ^a   Acharya, U Rajendra ^a,b   Tan, Jen Hong ^a   Petznick, Andrea ^c   Tong, Louis ^d   Chua, Chua Kuang ^a   Kwee Ng, Eddie Yin ^e  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c SINGAPORE EYE RESEARCH INSTITUTE   (Singapore)

^d SINGAPORE NATIONAL EYE CENTRE   (Singapore)

^e NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

classifier; Electroencephalogram (EEG); energy; fractal dimension; Hurst exponent; ictal; interictal; sample entropy

Indexed keywords

ELECTRO-ENCEPHALOGRAM (EEG); ENERGY; HURST EXPONENTS; ICTAL; INTERICTAL; SAMPLE ENTROPY;

CLASSIFIERS; DECISION TREES; ENTROPY; FRACTAL DIMENSION;

ELECTROENCEPHALOGRAPHY;

DECISION TREE; ELECTROENCEPHALOGRAPHY; HUMAN; NONLINEAR SYSTEM; PROCEDURES; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; ARTICLE; METHODOLOGY; SEIZURE;

DECISION TREES; ELECTROENCEPHALOGRAPHY; HUMANS; NONLINEAR DYNAMICS; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84882278346     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065713500238     Document Type: Article

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