Search results for "EEG analysis"

showing 2 items of 2 documents

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition

2021

Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by interactions involving multiple network nodes which cannot be described using pairwise links. While these higher-order interactions can be probed using information-theoretic measures, a rigorous framework to describe them in the frequency domain is still lacking. This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions betwee…

Brain modelingMultivariate statisticsTechnology and EngineeringGeneral Computer ScienceTime series analysiComplex systemTIME-SERIESHEART-RATETime series analysisEEG analysisInformation theoryMOTOR IMAGERYMatrix decompositionCouplingFrequency-domain analysiRedundancyelectronic oscillatorsRedundancy (engineering)General Materials ScienceNETWORKTime domainFrequency-domain analysissignal processingTEMPERATUREParametric statisticsinformation theoryPhysicsFEEDBACKGeneral Engineeringclimate dynamicsTime measurementspectral analysisTK1-9971Mathematics and Statisticshigh-order interactionsconnectivityFrequency domainCouplingsElectrical engineering. Electronics. Nuclear engineeringBiological systeminformation dynamicsCoherenceIEEE Access
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Visual and acoustic techniques for motorcycle collision warning system with EEG validation

2018

In many countries, motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. Collision detection systems can be used to minimize these fatalities. However, most of the existing collision detection systems do not identify the type of potential hazard faced by motorcyclists. Every collision warning system used a distinctive collision detection technique, which limits its performance and makes it imperative to study its effectiveness. Unfortunately, no such work has been reported in that particular domain for motorcyclists. Therefore, it is important to study the physio…

[SPI.OTHER]Engineering Sciences [physics]/OtherCollision Detection[SPI.OTHER] Engineering Sciences [physics]/OtherAnalyse de signaux EEGEEG analysisDetection de collision[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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