Search results for "Granger causality analysis"

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Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability

2015

This study faces the problem of causal inference in multivariate dynamic processes, with specific regard to the detection of instantaneous and time-lagged directed interactions. We point out the limitations of the traditional Granger causality analysis, showing that it leads to false detection of causality when instantaneous and time-lagged effects coexist in the process structure. Then, we propose an improved algorithm for causal inference that combines the Granger framework with the approach proposed by Pearl for the study of causality among multiple random variables. This new approach is compared with the traditional one in theoretical and simulated examples of interacting processes, sho…

Multivariate statisticsProcess (engineering)Computer scienceBiomedical EngineeringInferenceHealth InformaticsMachine learningcomputer.software_genreHeart RateEconometricsHumansArterial PressureComputer Simulation1707Granger causality analysisSeries (mathematics)business.industryBrainHeartCausalityCausalityCerebrovascular CirculationCausal inferenceSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomputerRandom variableAlgorithms2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Granger causality analysis of sleep brain-heart interactions

2014

We studied the networks of Granger causality (GC) between the time series of cardiac vagal autonomic activity and brain wave activities, measured respectively as the normalized high frequency (HF) component of heart rate variability and EEG power in the δ, θ, α, σ, β bands, computed in 10 healthy subjects during sleep. GC analysis was performed by vector autoregressive modeling, and significance of each link in the network was assessed using F-statistics. The whole-night analysis revealed the existence of a fully connected network of brain-heart and brain-brain interactions, with the ß EEG power acting as a hub which conveys the largest number of GC links between the heart and brain n…

Granger causality analysismedicine.diagnostic_testBiomedical EngineeringHealthy subjectsElectroencephalographySleep in non-human animalsGranger causalityAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineHeart rate variabilityPsychologyNeuroscienceSlow-wave sleep2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
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