Articles with "microstate sequences" as a keyword



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Characteristics of EEG Microstate Sequences During Propofol-Induced Alterations of Brain Consciousness States

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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2022.3182705

Abstract: Monitoring the consciousness states of patients and ensuring the appropriate depth of anesthesia (DOA) is critical for the safe implementation of surgery. In this study, a high-density electroencephalogram (EEG) combined with blood drug concentration and… read more here.

Keywords: state; brain consciousness; brain; propofol induced ... See more keywords
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EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant

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Published in 2018 at "Frontiers in Computational Neuroscience"

DOI: 10.3389/fncom.2018.00070

Abstract: We analyse statistical and information-theoretical properties of EEG microstate sequences, as seen through the lens of five different clustering algorithms. Microstate sequences are computed for n = 20 resting state EEG recordings during wakeful rest.… read more here.

Keywords: microstate; information; time; clustering algorithms ... See more keywords
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Information-Theoretical Analysis of EEG Microstate Sequences in Python

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Published in 2018 at "Frontiers in Neuroinformatics"

DOI: 10.3389/fninf.2018.00030

Abstract: We present an open-source Python package to compute information-theoretical quantities for electroencephalographic data. Electroencephalography (EEG) measures the electrical potential generated by the cerebral cortex and the set of spatial patterns projected by the brain's electrical… read more here.

Keywords: information; information theoretical; time; microstate sequences ... See more keywords
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Feature extraction based on microstate sequences for EEG–based emotion recognition

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Published in 2022 at "Frontiers in Psychology"

DOI: 10.3389/fpsyg.2022.1065196

Abstract: Recognizing emotion from Electroencephalography (EEG) is a promising and valuable research issue in the field of affective brain-computer interfaces (aBCI). To improve the accuracy of emotion recognition, an emotional feature extraction method is proposed based… read more here.

Keywords: emotion recognition; emotion; microstate sequences; feature extraction ... See more keywords