Non-Linear EEG Measures in Meditation

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Google-based Impact Factor: 1.68
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"Non-Linear EEG Measures in Meditation"
written by Oldřich Vyšata, Martin Schätz, Jakub Kopal, Jan Burian, Aleš Procházka, Kuchyňka Jiří, Jakub Hort, Martin Vališ,
published by Journal of Biomedical Science and Engineering, Vol.7 No.9, 2014

has been cited by the following article(s):

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[5]	Experienced Meditators Show Enhanced Interaction between Brain and Heart Functioning
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[6]	Complexity of MEG Neural Activity During Self Boundary Dissolution in Meditation
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[8]	Simple Neurofeedback via Machine Learning: Challenges in real time multivariate assessment of meditation state
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[11]	Increased entropy of gamma oscillations in the frontal region during meditation
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[12]	Classification of Relaxation and Concentration Mental States with EEG
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[13]	Entropy and the Brain: An Overview
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[14]	Analysis of Electroencephalogram for Cognitive Effects of Human Being Before and After Meditation
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[15]	Comparative Analysis of the Permutation and Multiscale Entropies for Quantification of the Brain Signal Variability in Naturalistic Scenarios
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[16]	Análisis de la actividad EEG durante una sesión de estimulación multisensorial en una sala Snoezelen
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[17]	Restorative Potential and Working Memory Capacity of Exposure to Vegetation in Indoor Built Environments
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[18]	Mapping Meditative States and Stages with Electrophysiology: Concepts, Classifications, and Methods
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[19]	Information-theoretic investigation of impact of huggable communication medium on prefrontal brain activation
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[20]	Nonlinear analysis of electroencephalogram signals while listening to the holy Quran
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[21]	Bodily-Contact Communication Medium Induces Relaxed Mode of Brain Activity While Increasing Its Dynamical Complexity: A Pilot Study
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[22]	Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition
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[23]	Harvesting RF Energy-A Review
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[25]	Mindfulness Meditation and Brain Signals: A Review
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[26]	Consumer-grade EEG devices: are they usable for control tasks?
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[27]	Consumer grade EEG devices: are they usable for control tasks?
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[28]	Characterization of EEG patterns in brain-injured subjects and controls after a Snoezelen® intervention
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[29]	Review on Effect of Mindfulness Meditation on Brain through EEG Signals
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[30]	Fractals in Affective and Anxiety Disorders
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[31]	IBRO Neuroscience Reports

[1]	A novel symbolic regression-based approach for decoding the impact of meditation on cognitive enhancement using multimodal EEG signal analysis Biomedical Signal Processing and Control, 2025 DOI:10.1016/j.bspc.2025.107684

[2]	Network analysis of meditative states in highly skilled meditators using EEG and horizontal visibility graphs 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024 DOI:10.1109/EMBC53108.2024.10782024

[3]	Experienced Meditators Show Enhanced Interaction Between Brain and Heart Functioning Mindfulness, 2024 DOI:10.1007/s12671-024-02482-8

[4]	Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction Neural Networks, 2024 DOI:10.1016/j.neunet.2023.12.007

[5]	The Fractal Geometry of the Brain Advances in Neurobiology, 2024 DOI:10.1007/978-3-031-47606-8_36

[6]	Psilocybin enhances insightfulness in meditation: a perspective on the global topology of brain imaging during meditation Scientific Reports, 2024 DOI:10.1038/s41598-024-55726-x

[7]	Psilocybin enhances insightfulness in meditation: a perspective on the global topology of brain imaging during meditation Scientific Reports, 2024 DOI:10.1038/s41598-024-55726-x

[8]	Intermediate effects of mindfulness practice on the brain activity of college students: An EEG study IBRO Neuroscience Reports, 2023 DOI:10.1016/j.ibneur.2023.03.003

[9]	Intermediate effects of mindfulness practice on the brain activity of college students: An EEG study IBRO Neuroscience Reports, 2023 DOI:10.1016/j.ibneur.2023.03.003

[10]	Multi-feature extraction, analysis, and classification for control and meditators’ electroencephalogram Signal, Image and Video Processing, 2022 DOI:10.1007/s11760-022-02191-6

[11]	Determining states of consciousness in the electroencephalogram based on spectral, complexity, and criticality features Neuroscience of Consciousness, 2022 DOI:10.1093/nc/niac008

[12]	Classification of Relaxation and Concentration Mental States with EEG Information, 2021 DOI:10.3390/info12050187

[13]	Increased Entropy of Gamma Oscillations in the Frontal Region during Meditation 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021 DOI:10.1109/EMBC46164.2021.9629633

[14]	Classification of Relaxation and Concentration Mental States with EEG Information, 2021 DOI:10.3390/info12050187

[15]	Comparative Analysis of the Permutation and Multiscale Entropies for Quantification of the Brain Signal Variability in Naturalistic Scenarios Brain Sciences, 2020 DOI:10.3390/brainsci10080527

[16]	Entropy and the Brain: An Overview Entropy, 2020 DOI:10.3390/e22090917

[17]	Analysis of Electroencephalogram for Cognitive Effects of Human Being Before and After Meditation 2020 International Conference on Industry 4.0 Technology (I4Tech), 2020 DOI:10.1109/I4Tech48345.2020.9102705

[18]	Comparative Analysis of the Permutation and Multiscale Entropies for Quantification of the Brain Signal Variability in Naturalistic Scenarios Brain Sciences, 2020 DOI:10.3390/brainsci10080527

[19]	Entropy and the Brain: An Overview Entropy, 2020 DOI:10.3390/e22090917

[20]	Mapping meditative states and stages with electrophysiology: concepts, classifications, and methods Current Opinion in Psychology, 2019 DOI:10.1016/j.copsyc.2019.01.007

[21]	Information-theoretic investigation of impact of huggable communication medium on prefrontal brain activation Advanced Robotics, 2019 DOI:10.1080/01691864.2019.1652114

[22]	Bodily-Contact Communication Medium Induces Relaxed Mode of Brain Activity While Increasing Its Dynamical Complexity: A Pilot Study Frontiers in Psychology, 2018 DOI:10.3389/fpsyg.2018.01192

[23]	Natural and Artificial Computation for Biomedicine and Neuroscience Lecture Notes in Computer Science, 2017 DOI:10.1007/978-3-319-59740-9_20

[24]	Consumer grade EEG devices: are they usable for control tasks? PeerJ, 2016 DOI:10.7717/peerj.1746

[25]	Characterization of EEG patterns in brain-injured subjects and controls after a Snoezelen® intervention Computer Methods and Programs in Biomedicine, 2016 DOI:10.1016/j.cmpb.2016.08.008

[26]	The Fractal Geometry of the Brain Springer Series in Computational Neuroscience, 2016 DOI:10.1007/978-1-4939-3995-4_29

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