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Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples
(Medical and Biological Engineering and Computing, 2001-02-23)
Cross-correlation between cerebral blood flow (CBF) and background EEG activity can indicate the integrity of CBF control under changing metabolic demand. The difficulty of obtaining long, continuous recordings of good ...
Algorithm for Detection of Raising Eyebrows and Jaw Clenching Artifacts in EEG Signals Using Neurosky Mindwave Headset
(2021-01-01)
The present work proposes an algorithm to detect and identify the artifact signals produced by the concrete gestural actions of jaw clench and eyebrows raising in the electroencephalography (EEG) signal. Artifacts are ...
Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study
(ELSEVIER SCIENCE BV, 2011)
Objective: We carry out a systematic assessment on a suite of kernel-based learning machines while coping with the task of epilepsy diagnosis through automatic electroencephalogram (EEG) signal classification. Methods and ...
EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm
(Ieee-inst Electrical Electronics Engineers Inc, 2018-01-01)
In the modern life, the authentication technique for any system is considered as one of the most important and challenging tasks. Therefore, many researchers have developed traditional authentication systems to deal with ...
Nonlinear analysis of the electroencephalogram in depth of anesthesia
(Revista Facultad de Ingenieria Universidad de Antioquia, 2015-02-09)
Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique. The objective of this work was to conduct a review ...
Classificação de estágios de sono através da aplicação de transformada wavelet discreta sobre um único canal de eletroencefalograma
(Universidade Federal de Santa MariaBrasilCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Ciência da ComputaçãoCentro de Tecnologia, 2016-01-25)
The correct sleep stage classification allows sleep experts to diagnose and treat disorders
such as apnea, narcolepsy and insomnia. Such task is classically performed by sleep
medicine experts, where one or more physiological ...