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Recent Advances inBrain SignalAnalysis: Methods andApplications Victor Hugo C. de AlbuquerquePlácido Rogério PinheiroJoão Paulo Papa2016 год

Recent Advances in Brain Signal Analysis: Methods and Applications
редакционная статья

Полный текстСтраница публикацииПубликация в OpenAlex
Аннотация: Signal processing and analyses have been extensively used in the field of Neuroscience. For example, (semi)automatic brain-based systems have been increasingly used in various medical applications such as disease prevention, detection and diagnosis of diseases, rehabilitation, smart environments education, serious games and entertainment, security and authentication, biometry, and mobile, as well as new equipment for signal acquisition. These systems are introduced in the literature as accurate, fast, complementary, and alternative devices to aid specialists in their decision making, to facilitate the analysis and interpretation of brain signals, and to reduce and/or eliminate errors [1, 2]. The main objective of this special issue is to promote a discussion on the recent advances related to Brain Signal Analysis from novel methods or applications in order to identify innovative, current, and important contributions to the field of Neuroscience. This special issue of this journal contains 9 original works selected from the 23 submitted. These studies address new trends in novel methods and techniques applied to different applications.
Год издания: 2016
Авторы: Victor Hugo C. de Albuquerque, Plácido Rogério Pinheiro, João Paulo Papa, João Manuel R. S. Tavares, Ronaldo Menezes, Carlos Augusto Silva de Oliveira
Издательство: Hindawi Publishing Corporation
Источник: Computational Intelligence and Neuroscience
Ключевые слова: EEG and Brain-Computer Interfaces
Другие ссылки: Computational Intelligence and Neuroscience (PDF)
Computational Intelligence and Neuroscience (HTML)
DOAJ (DOAJ: Directory of Open Access Journals) (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
Open Repository of the University of Porto (University of Porto) (PDF)
Open Repository of the University of Porto (University of Porto) (HTML)
UNESP Institutional Repository (São Paulo State University) (PDF)
UNESP Institutional Repository (São Paulo State University) (HTML)
PubMed Central (HTML)
PubMed (HTML)