Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Agostinho Rosa"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1343-1352 (2023)
Objective: Multi-frequency-modulated visual stimulation scheme has been shown effective for the steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) recently, especially in increasing the visual target number with less
Externí odkaz:
https://doaj.org/article/3accb7e7e892445c9a34870f48efb120
Publikováno v:
Brain Sciences, Vol 13, Iss 6, p 926 (2023)
Human alpha oscillation (7–13 Hz) has been extensively studied over the years for its connection with cognition. The individual alpha frequency (IAF), defined as the frequency that provides the highest power in the alpha band, shows a positive corr
Externí odkaz:
https://doaj.org/article/57977c02ad1b430ca6e1088de397ba95
Autor:
Inês Esteves, Wenya Nan, Cristiana Alves, Alexandre Calapez, Fernando Melício, Agostinho Rosa
Publikováno v:
Neural Plasticity, Vol 2021 (2021)
Neurofeedback training has shown benefits in clinical treatment and behavioral performance enhancement. Despite the wide range of applications, no consensus has been reached about the optimal training schedule. In this work, an EEG neurofeedback prac
Externí odkaz:
https://doaj.org/article/da64cbfad1ce496e89d379acf4452cad
Autor:
Maria-Cecilia Lopes, Karen Spruyt, Leticia Azevedo-Soster, Agostinho Rosa, Christian Guilleminault
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2019)
Introduction: Changes in the autonomic nervous system due to Obstructive Sleep Apnea (OSA) during the life span have been described. Some pediatric studies have shown cardiovascular effects in children who do not fit the criteria for OSA; namely chil
Externí odkaz:
https://doaj.org/article/bf2ae3fb6dff4e119eb656055a0cfb70
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Neurofeedback training, which enables the trainee to learn self-control of the EEG activity of interest based on online feedback, has demonstrated benefits on cognitive and behavioral performance. Nevertheless, as a core mechanism of neurofeedback, l
Externí odkaz:
https://doaj.org/article/9cfc7114a2b84683b7f03930e75d9dfd
Publikováno v:
Behavioural Neurology, Vol 2017 (2017)
Schizophrenia is a chronic and devastating brain disorder with ongoing cognitive, behavioral, and emotional deteriorated functions. Neurofeedback training, which enables the individuals to regulate their brain activity using a real-time feedback loop
Externí odkaz:
https://doaj.org/article/bc3c86f2251a4ea6bb58817dc474e0ee
Autor:
Gabriela Rodrigues Alves, Agostinho Rosa, Magneide Brito, Marcia Pradella-Hallinan, Sergio Tufik
Publikováno v:
Arquivos de Neuro-Psiquiatria, Vol 68, Iss 5, Pp 689-693 (2010)
OBJECTIVE: The aim of this study is to complement existing data on the expression and characteristics of cyclic alternating pattern (CAP) in children, specifically in the 12 to 24 month age bracket. METHOD: Descriptive study. Settings: a university p
Externí odkaz:
https://doaj.org/article/c6eacafd6753419cb55644a1b76af014
Publikováno v:
Arquivos de Neuro-Psiquiatria, Vol 64, Iss 3a, Pp 578-581 (2006)
The classification of short duration events in the EEG during sleep, as the A stage of the cyclic alternating pattern (CAP) is a tedious and error prone task. The number of events under normal conditions is large (several hundreds), and it is necessa
Externí odkaz:
https://doaj.org/article/373f575d45d6450394c7ea5d1a7d6037
Autor:
Dalva Poyares, Carlos Maurício Oliveira de Almeida, Rogerio Santos da Silva, Agostinho Rosa, Christian Guilleminault
Publikováno v:
Brazilian Journal of Psychiatry, Vol 27, Pp 22-26 (2005)
Casos de comportamento violento (CV) durante o sono são relatados na literatura. A incidência de comportamento violento durante o sono não é muito conhecida. Um estudo epidemiológico mostra que cerca de 2% da população geral apresentava compor
Externí odkaz:
https://doaj.org/article/2a626755d9d84c98ac51c9c8ee6eadbd
Publikováno v:
IEEE Transactions on Biomedical Engineering. 70:603-615
Brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) require extensive and costly calibration to achieve high performance. Using transfer learning to re-use existing calibration data from old stimuli is a promising s