A parametric method to measure time-varying linear and nonlinear causality with applications to EEG data

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 11, 2013, Pages 3141-3148

  Zhao, Yifan ^a   Billings, Steve A ^a   Wei, Hua Liang ^a   Sarrigiannis, Ptolemaios G ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b ROYAL HALLAMSHIRE HOSPITAL   (United Kingdom)

Author keywords

Childhood absence; epilepsy; NARMAX; OLS

Indexed keywords

CHILDHOOD ABSENCE; DETECTION METHODS; EPILEPSY; NARMAX; NON-LINEAR RELATIONSHIPS; NONLINEAR CAUSALITIES; OLS; PARAMETRIC METHOD;

COMPOSITE STRUCTURES; NEUROLOGY; NONLINEAR SYSTEMS;

ELECTROENCEPHALOGRAPHY;

ARTICLE; CHILDHOOD ABSENCE EPILEPSY; ELECTROENCEPHALOGRAPHY; ERROR REDUCTION RATIO CAUSALITY; FOURIER TRANSFORMATION; LINEAR SYSTEM; MATHEMATICAL PARAMETERS; NONLINEAR SYSTEM; TIME; VARIANCE;

ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EPILEPSY, ABSENCE; HUMANS; LINEAR MODELS; NONLINEAR DYNAMICS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84886642841     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2269766     Document Type: Article

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