An identifiable model to assess frequency-domain Granger causality in the presence of significant instantaneous interactions

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

Volumn , Issue , 2010, Pages 1699-1702

  Faes, Luca ^a   Erla, Silvia ^a   Tranquillini, Enzo ^b   Orrico, Daniele ^b   Nollo, Giandomenico ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b SANTA CHIARA HOSPITAL   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL MODELING; DATA APPLICATION; EXTENDED MODEL; FREQUENCY DOMAINS; GRANGER CAUSALITY; MODEL IDENTIFICATION; MULTICHANNEL EEG; MULTIPLE TIME SERIES; MULTIVARIATE AUTOREGRESSIVE; NEW APPROACHES; PARTIAL DIRECTED COHERENCE;

FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; TIME SERIES;

COMPUTER SIMULATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 78650830549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626839     Document Type: Conference Paper

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