-
1
-
2
Computational Methods and Analyses for Assessing Cerebellar Electrophysiology with Magneto- and Electroencephalography
Published 2022“…Magneto- and electroencephalography (M/EEG) can non-invasively and directly measure neural activity at sub-millisecond temporal resolution and therefore hold promise to bridge this gap. …”
Get full text
Get full text
Thesis -
3
Non polar generalization of flat electroencephalography during epileptic seizure
Published 2012“…Electroencephalography (EEG) is the recording of brain electric potentials. …”
Thesis -
4
Classification of electroencephalography signal using statistical features and regression classifier
Published 2014“…Enormous digital electroencephalography (EEG) acquisition systems available nowadays for researchers due to the high demand in the brain signal research. …”
Get full text
Thesis -
5
Classification of electroencephalography signal using statistical features and regression classifier
Published 2014“…Enormous digital electroencephalography (EEG) acquisition systems available nowadays for researchers due to the high demand in the brain signal research. …”
Thesis -
6
Spatial analysis of signal during epileptic seizure on plat electroencephalography
Published 2017“…In this work, a new spatial interaction model which is based on basic gravity model is developed and applied on flat Electroencephalography (fEEG). The model is used to study the interaction among clusters on fEEG. …”
Get full text
Thesis -
7
Jordan-chevalley decomposition of recorded electroencephalography signals during epileptic seizures
Published 2023Subjects: Get full text
Thesis -
8
Jordan-chevalley decomposition of recorded electroencephalography signals during epileptic seizures
Published 2021“…It can be diagnosed through a noninvasive tool called electroencephalography (EEG), which records the electrical signals emanated by the brain. …”
Get full text
Thesis -
9
Simulated electroencephalography (EEG) source localization using integrated meromorphic approximation
Published 2015“…The seizure affected zone loses its normal task abilities and might react uncontrollably. Electroencephalography (EEG) is one of the useful instruments in diagnosing many brain disorders like epilepsy. …”
Get full text
Thesis -
10
Background auditory stimuli effect on memorizing tasks performance based on electroencephalography
Published 2016“…Brain signal was recorded during memorization duration using 10-20 electrode placement system of electroencephalography (EEG) machine. EEG is a neurological test for measuring and recording the electrical activity of the brain. …”
Get full text
Thesis -
11
Sequence of image enhancemant of flat electroencephalography using intuitionistic fuzzy set
Published 2018“…This study focused on contrast enhancement of Flat Electroencephalography (fEEG) image during epileptic seizure. …”
Get full text
Thesis -
12
Sequence of image enhancement of flat electroencephalography using intuitionistic fuzzy set
Published 2018“…v ABSTRACT This study focused on contrast enhancement of Flat Electroencephalography (fEEG) image during epileptic seizure. …”
Get full text
Thesis -
13
-
14
Socio-demographic and clinical characteristics of complex febrile seizure and its association with abnormal electroencephalography
Published 2017“…Currently there is no role of electroencephalography (EEG) study in simple febrile seizure. …”
Get full text
Thesis -
15
Mental fatigue analysis based on electroencephalography spectrum, mental fatigue scale, and reaction time
Published 2022“…The objectives of the project are to analyses the subject's mental state by analysing waveforms using electroencephalography (EEG). Next, to evaluate the mental state of subjects from the Mental Fatigue Scale (MFS) and lastly, to analyses how mental fatigue can impact someone reaction time (RT). …”
Get full text
Get full text
Get full text
Thesis -
16
Electroencephalogram signal interpretation system for mobile robot
Published 2013Subjects: “…Electroencephalography…”
Get full text
Thesis -
17
-
18
Electroencephalography signal classification using neural network, decision tree and ensemble bagged tree for epilepsy disease
Published 2022“…This study's primary objective is to classify the Electroencephalography (EEG) signal dataset of epileptic seizures using a machine learning algorithm and to evaluate the performance using the Plot Confusion Matrix and area under the receiver operating characteristic (AUC-ROC) curve. …”
Get full text
Thesis -
19
Spatiotemporal brain dynamics induced by propofol and ketamine in humans
Published 2023Subjects:Thesis -
20
Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
Published 2017“…The abnormality of the electrical activity in the brain during an epileptic seizure can be measured by using Electroencephalography (EEG) and Magnetoencephalography (MEG). …”
Get full text
Thesis