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Spatial interaction of electroencephalography signal during epileptic seizure on flat electroencephalography
Published 2013“…Electroencephalography (EEG) is one of the fields in clinical neurophysiology, which is a recording of the electrical activity of the brain from the scalp. …”
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Spatial interaction image of electroencephalography signal during epileptic seizure on flat electroencephalography
Published 2017“…Electroencephalography (EEG) is one of the fields in clinical neurophysiology, which is a recording of the electrical activity of the brain from the scalp. …”
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Dynamical system of flat electroencephalography
Published 2015“…Flat EEG is a way of viewing electroencephalography signals on the real plane. The wealth of information contained within makes it a great platform to study epileptic seizure. …”
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Structural stability of flat electroencephalography
Published 2014“…Flat Electroencephalography is a way of viewing electroencephalography signals on the first component of Fuzzy Topograhic Topological Mapping (FTTM), a model which was designed to solve neuromagnetic inverse problem. …”
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Dynamic topological justification for flat electroencephalography
Published 2012“…Flat EEG is a way of viewing electroencephalography signals on the real plane. The wealth of information contained within makes it a great platform to study epileptic seizure. …”
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Elementary components of electroencephalography signals viewed as prime numbers
Published 2021Get full text
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Fuzzy contrast enhancement by intensification operator in flat electroencephalography image
Published 2019“…In this paper, the contrast of Flat Electroencephalography (fEEG) image is enhanced by using fuzzy approach. …”
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Fuzzy topological digital space of flat electroencephalography during epileptic seizures
Published 2013“…Epileptic seizures are manifestations of epilepsy caused a temporary electrical disturbance in a group of brain cells. Electroencephalography (EEG) is a recording of electrical activity of the brain and it contains valuable information related to the different physiological states of the brain. …”
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Contrast comparison of flat electroencephalography image: classical, fuzzy, and intuitionistic fuzzy set
Published 2015Conference or Workshop Item -
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Some fundamental properties for regular element of electroencephalography signals semigroup during epileptic seizure
Published 2015“…Electroencephalography (EEG) is a record of electrical activity along the scalp. …”
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Decomposing the Krohn-Rhodes form of electroencephalography (EEG) signals using Jordan-Chevalley decomposition technique
Published 2021“…This paper explores how electroencephalography (EEG) signals in the Krohn-Rhodes form can be decomposed further using the Jordan-Chevalley decomposition technique. …”
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fEEG contrast enhancement: power law transformation vs intuitionistic fuzzy set
Published 2020“…This work focused on contrast enhancement of Flat Electroencephalography (fEEG) image by using Power Law Transformation (PLT) and Intuitionistic Fuzzy Set (IFS). …”
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Semigroup of EEG signals during epileptic seizure
Published 2010“…In this study, we show that the first component of FTTM, namely magnetic contour plane which contains electroencephalography signals during epileptic seizure can be viewed as a semigroup of square matrices under matrix multiplication.…”
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Flat EEG image segmentation by fuzzy entropy-based multi-level thresholding
Published 2022“…In this paper, a multi-level image thresholding based on fuzzy entropy is applied on Flat Electroencephalography (Flat EEG) image. The outcomes are compared visually with global thresholding.…”
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Selection of a subset of EEG channels of epileptic patient during seizure using PCA
Published 2008“…One of the major roles of electroencephalography (EEG) is as an aid to diagnose epilepsy. …”
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Comparison of EEG source localization using meromorphic approximation to fuzzy c-mean
Published 2013“…Electroencephalography (EEG) is a neuroimaging technique for localizing active sources within the brain, from knowledge of electromagnetic measurements outside the head. …”
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EEG signal of epiliptic patient by fast Fourier and wavelet transforms
Published 2013“…Electroencephalography (EEG) is one of the field in diagnosing g epilepsy. …”
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Evaluation of different EEG source localization methods using testing localization errors
Published 2013“…The forward and inverse problems in electroencephalography will debate. The inverse problem has non-uniqueness property in nature. …”
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Article