Electroencephalography
Mostrando 1-12 de 110 artigos, teses e dissertações.
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1. Newborns at high risk for brain injury: the role of the amplitude-integrated electroencephalography
Abstract Objective: Amplitude-integrated electroencephalography (aEEG) is a simplified bedside neurophysiology tool that has been implemented in the neonatal intensive care unit and studied in an extensive range of clinical applications in the past decade. This critical review aimed to evaluate a variety of clinical applications of aEEG monitoring in diagno
Jornal de Pediatria. Publicado em: 2022
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2. A Genetic Algorithm for Pointwise Source Reconstruction by the Method of Fundamental Solutions
ABSTRACT Inverse source reconstruction problems offer great potential for applications of interest to engineering, such as the identification of polluting sources, and to medicine, such as electroencephalography, to cite at least two relevant examples. From a mathematical point of view, the identification of a concentrated source (intensity and location) cor
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions
OBJECTIVES: Approximately one-third of candidates for epilepsy surgery have no visible abnormalities on conventional magnetic resonance imaging. This is extremely discouraging, as these patients have a less favorable prognosis. We aimed to evaluate the utility of quantitative magnetic resonance imaging in patients with drug-resistant neocortical focal epile
Clinics. Publicado em: 22/07/2019
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4. Transcranial direct current stimulation (tDCS) effects on traumatic brain injury (TBI) recovery: A systematic review
RESUMO. A lesão cerebral traumática (TCE) é uma das principais causas de incapacidade crônica. Menos de um quarto dos pacientes com TCE moderada e grave melhoraram sua cognição dentro de cinco anos. A estimulação cerebral não invasiva, incluindo a estimulação transcraniana por corrente contínua (ETCC), pode ajudar na reabilitação neurológica,
Dement. neuropsychol.. Publicado em: 18/06/2019
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5. Comparison of conventional, amplitude-integrated and geodesic sensor net EEG used in premature neonates: a systematic review
RESUMO Métodos para avaliar a atividade cortical em neonatos têm grande importância na Medicina moderna, pois permitem a observação e avaliação de diversos aspectos clínicos, garantindo que a equipe de saúde tenha conhecimento sobre possíveis medidas de intervenção que possam ser necessárias no tratamento de recém-nascidos. Objetivo: Esta revi
Arq. Neuro-Psiquiatr.. Publicado em: 13/05/2019
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6. Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep
Cyclic alternating pattern (CAP) is a neurophysiological pattern that can be visually scored by international criteria. The aim of this study was to verify the feasibility of visual CAP scoring using only one channel of sleep electroencephalogram (EEG) to evaluate the inter-scorer agreement in a variety of recordings, and to compare agreement between visual
Braz J Med Biol Res. Publicado em: 25/02/2019
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7. Amplitude-integrated electroencephalography for neonatal seizure detection. An electrophysiological point of view
RESUMO Las convulsiones neonatales están asociadas a una alta morbi-mortalidad por lo que su correcto diagnóstico y tratamiento es fundamental. Las convulsiones en los recién nacidos son frecuentemente subclínicas lo que hace que su detección sea dificultosa. La electroencefalografía integrada por amplitud es una técnica de monitoreo electroencefalogr
Arq. Neuro-Psiquiatr.. Publicado em: 2019-02
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8. Performance Optimization in Sport: A Psychophysiological Approach
ABSTRACT In the last 20 years, there was a growing interest in the study of the theoretical and applied issues surrounding psychophysiological processes underlying performance. The psychophysiological monitoring, which enables the study of these processes, consists of the assessment of the activation and functioning level of the organism using a multidimensi
Motriz: rev. educ. fis.. Publicado em: 27/11/2017
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9. Electroencephalographic findings in patients with major depressive disorder during cognitive or emotional tasks: a systematic review
Objective: Major depressive disorder (MDD) is a prevalent psychiatric condition characterized by multiple symptoms that cause great distress. Uncovering the brain areas involved in MDD is essential for improving therapeutic strategies and predicting response to interventions. This systematic review discusses recent findings regarding cortical alterations in
Rev. Bras. Psiquiatr.. Publicado em: 04/08/2016
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10. INCREASED TISSUE TRANSGLUTAMINASE LEVELS ARE ASSOCIATED WITH INCREASED EPILEPTIFORM ACTIVITY IN ELECTROENCEPHALOGRAPHY AMONG PATIENTS WITH CELIAC DISEASE
Contexto - A doença celíaca é uma doença sistêmica auto-imune em indivíduos geneticamente predispostos, precipitada pela ingestão de glúten. Objetivo - Neste estudo, tivemos como objetivo determinar achados de picos e onda assintomáticos na eletroencefalografia de crianças com doença celíaca. Métodos - Foi incluído um total de 175 crianç
Arq. Gastroenterol.. Publicado em: 2015-12
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11. A self-organizing maps classifier structure for brain computer interfaces
AbstractIntroductionBrain Computer Interfaces provide an alternative communication path to severe paralyzed people and uses electrical signals related to brain activity in order to identify the user’s intention. In this paper a classifier based on a Self-Organizing Map is introduced.MethodsElectroencephalography signal is used on this work as a source for
Res. Biomed. Eng.. Publicado em: 08/09/2015
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12. Drowsiness detection for single channel EEG by DWT best m-term approximation
Introduction In this paper we propose a promising new technique for drowsiness detection. It consists of applying the best m-term approximation on a single-channel electroencephalography (EEG) signal preprocessed through a discrete wavelet transform. Methods In order to classify EEG epochs as awake or drowsy states, the most significant m terms from the wav
Res. Biomed. Eng.. Publicado em: 2015-04