Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure

J. J. Joshua Davis, Florian Schübeler, Sungchul Ji, Róbert Kozma

202012 citationsDOI

Abstract

Non-invasive brain imaging techniques are popular tools for monitoring the cognitive state of human participants. This work builds on our previous studies using the HydroCel Geodesic Sensor Net, 256 electrodes dense-array electro-encephalography (EEG). The studies analyze dominant frequencies of temporal power spectral densities for each of the EEG electrodes. The experiments involve three modalities: Meditation, Math Mind, and (c) Open Eyes condition. Here we perform an analysis of the Shannon entropy index and Pearson's skewness coefficient in order to test their fitness to classify different brain states. The results help to develop a comprehensive methodology to understand brain dynamics.

Topics & Concepts

ElectroencephalographySkewnessKurtosisEntropy (arrow of time)Computer scienceArtificial intelligenceBrain activity and meditationCognitionSpectral densityPattern recognition (psychology)ModalitiesInformation theoryMathematicsPsychologyNeuroscienceStatisticsPhysicsQuantum mechanicsSociologySocial scienceTelecommunicationsNeural dynamics and brain functionEEG and Brain-Computer InterfacesFunctional Brain Connectivity Studies