Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions

Biological Cybernetics

Volumn 103, Issue 5, 2010, Pages 387-400

  Faes, Luca ^a   Nollo, Giandomenico ^a,b  

^a UNIVERSITY OF TRENTO   (Italy)

^b FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

Cardiovascular variability; EEG; Granger causality; Multivariate autoregressive models; Multivariate time series; Partial Directed Coherence

Indexed keywords

CARDIOVASCULAR VARIABILITIES; EEG; GRANGER CAUSALITY; MULTIVARIATE AUTOREGRESSIVE MODELS; MULTIVARIATE TIME SERIES; PARTIAL DIRECTED COHERENCE;

FREQUENCY DOMAIN ANALYSIS;

TIME SERIES;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CARDIOVASCULAR FUNCTION; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; SIGNAL PROCESSING; STANDARD; STATISTICAL MODEL; TIME;

ANIMALS; ARTIFICIAL INTELLIGENCE; CARDIOVASCULAR PHYSIOLOGICAL PHENOMENA; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 78649326725     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-010-0406-6     Document Type: Article

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