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Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms
(2017-06-28)
Epilepsy is a class of chronic neurological disorders characterized by transient and unexpected electrical disturbances of the brain. The automated analysis of the electroencephalogram (EEG) signal can be instrumental for ...
Automatic estimation of upper limb angular displacement based on EMG or EEG signals
(Biblioteca Digital wdg.biblioUniversidad de Guadalajara, 2021-05-28)
Upper limb disabilities affect each year a considerable portion of the population, which leads us to the need to assist those who totally or partially
lost mobility in the upper limb. Most recent approaches have reconstructed ...
EEG signal processing in brain–computer interface
(Elsevier, 2018)
A brain–computer interface (BCI) system employs the electrical signals of the brain of the user to control a device according to the user’s intentions. Thus, the brain activity patterns should be identified by the system ...
An efficient optimization technique of EEG decomposition for user authentication system
(Ieee, 2018-01-01)
Since the past years, the world is transformed into a digital society, where every individual is living with a unique digital identifier. The primary purpose of this identifier is to distinguish from others as well as to ...
Identificação da condição de sono a partir de características extraídas de sinais de EEG utilizando um módulo Orange Pi Zero
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2017-12-15)
This work in progress reports the first results of a project which purpose is the implementation
of a microprocessed system for the detection of fatigue, or state of drowsiness, from
electroencephalogram (EEG) signals. ...
Redução do Eletroencefalograma durante monitorização contínua de paciente crítico
(Universidade Federal do Rio de JaneiroBrasilInstituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de EngenhariaPrograma de Pós-Graduação em Engenharia BiomédicaUFRJ, 2019)
EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment
(Elsevier B.V., 2014-07-20)
Epilepsy refers to a set of chronic neurological syndromes characterized by transient and unexpected electrical disturbances of the brain. The detailed analysis of the electroencephalogram (EEG) is one of the most influential ...
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 ...
Uma metodologia para detecção de sonolência em tempo real com EEG vestível com duas derivações
(Universidade Federal de Santa MariaBrasilCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Ciência da ComputaçãoCentro de Tecnologia, 2020-02-20)
Modern life often requires the subject to modify his circadian cycle due to his profession.
This change implies low performance, bad mood and, mainly, reduced attention and, drowsiness
at unsuitable times. According to ...