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Multivariate reconstruction of functional networks from cortical sources dynamics in MEG/EEG
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
In this paper, we present a simple method to find networks of time-correlated brain sources, using a singular value decomposition (SVD) analysis of the source matrix estimated after any linear distributed inverse problem ...
EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm
(2022-03-01)
The electroencephalogram (EEG) introduced a massive potential for user identification. Several studies have shown that EEG provides unique features in addition to typical strength for spoofing attacks. EEG provides a graphic ...
Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks
(Institute of Electrical and Electronics Engineers Inc., 2016-06)
The use of hierarchical linear modelling has been increasing in the last 5 years to analyze EEG data. Until now, no clear comparison on linear modelling in different modalities has been done. Therefore, specific differences ...
EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer
(2022-01-01)
Electroencephalogram signals (EEG) have provided biometric identification systems with great capabilities. Several studies have shown that EEG introduces unique and universal features besides specific strength against ...
Artefacts Detection in EEG Signals
(2021)
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical
modality that is used to measure brain activity in order to diagnose different neurological
pathologies and plan treatment. ...
Correspondence Between TOVA Test Results and Characteristics of EEG Signals Acquired Through the Muse Sensor in Positions AF7–AF8
(2021-01-01)
This paper seeks to study the correspondence between the results of the test of variable of attention (TOVA) and the signals acquired by the Muse electroencephalogram (EEG) in the positions AF7 and AF8 of the cerebral ...
Implementación de un sensor de electroencefalograma (EEG) en aplicaciones domóticas
(Facultad de IngenieríaIngeniería en MecatrónicaUniversidad Militar Nueva Granada, 2013-07-10)
En el presenta trabajo se busca, mediante un sensor de electroencefalograma (EEG), el uso de una BCI la cual permite la interacción tanto de un usuario saludable como del que tiene limitaciones físicas, en un ambiente ...